Coverage Report

Created: 2025-11-30 06:38

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/src/cpython/Objects/listobject.c
Line
Count
Source
1
/* List object implementation */
2
3
#include "Python.h"
4
#include "pycore_abstract.h"      // _PyIndex_Check()
5
#include "pycore_ceval.h"         // _PyEval_GetBuiltin()
6
#include "pycore_critical_section.h"  // _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED()
7
#include "pycore_dict.h"          // _PyDictViewObject
8
#include "pycore_freelist.h"      // _Py_FREELIST_FREE(), _Py_FREELIST_POP()
9
#include "pycore_interp.h"        // PyInterpreterState.list
10
#include "pycore_list.h"          // struct _Py_list_freelist, _PyListIterObject
11
#include "pycore_long.h"          // _PyLong_DigitCount
12
#include "pycore_modsupport.h"    // _PyArg_NoKwnames()
13
#include "pycore_object.h"        // _PyObject_GC_TRACK(), _PyDebugAllocatorStats()
14
#include "pycore_pyatomic_ft_wrappers.h"
15
#include "pycore_setobject.h"     // _PySet_NextEntry()
16
#include "pycore_stackref.h"      // _Py_TryIncrefCompareStackRef()
17
#include "pycore_tuple.h"         // _PyTuple_FromArraySteal()
18
#include "pycore_typeobject.h"    // _Py_TYPE_VERSION_LIST
19
#include <stddef.h>
20
21
/*[clinic input]
22
class list "PyListObject *" "&PyList_Type"
23
[clinic start generated code]*/
24
/*[clinic end generated code: output=da39a3ee5e6b4b0d input=f9b222678f9f71e0]*/
25
26
#include "clinic/listobject.c.h"
27
28
_Py_DECLARE_STR(list_err, "list index out of range");
29
30
#ifdef Py_GIL_DISABLED
31
typedef struct {
32
    Py_ssize_t allocated;
33
    PyObject *ob_item[];
34
} _PyListArray;
35
36
static _PyListArray *
37
list_allocate_array(size_t capacity)
38
{
39
    if (capacity > PY_SSIZE_T_MAX/sizeof(PyObject*) - 1) {
40
        return NULL;
41
    }
42
    _PyListArray *array = PyMem_Malloc(sizeof(_PyListArray) + capacity * sizeof(PyObject *));
43
    if (array == NULL) {
44
        return NULL;
45
    }
46
    array->allocated = capacity;
47
    return array;
48
}
49
50
static Py_ssize_t
51
list_capacity(PyObject **items)
52
{
53
    _PyListArray *array = _Py_CONTAINER_OF(items, _PyListArray, ob_item);
54
    return array->allocated;
55
}
56
#endif
57
58
static void
59
free_list_items(PyObject** items, bool use_qsbr)
60
145M
{
61
#ifdef Py_GIL_DISABLED
62
    _PyListArray *array = _Py_CONTAINER_OF(items, _PyListArray, ob_item);
63
    if (use_qsbr) {
64
        size_t size = sizeof(_PyListArray) + array->allocated * sizeof(PyObject *);
65
        _PyMem_FreeDelayed(array, size);
66
    }
67
    else {
68
        PyMem_Free(array);
69
    }
70
#else
71
145M
    PyMem_Free(items);
72
145M
#endif
73
145M
}
74
75
static void
76
ensure_shared_on_resize(PyListObject *self)
77
107M
{
78
#ifdef Py_GIL_DISABLED
79
    // We can't use _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED here because
80
    // the `CALL_LIST_APPEND` bytecode handler may lock the list without
81
    // a critical section.
82
    assert(Py_REFCNT(self) == 1 || PyMutex_IsLocked(&_PyObject_CAST(self)->ob_mutex));
83
84
    // Ensure that the list array is freed using QSBR if we are not the
85
    // owning thread.
86
    if (!_Py_IsOwnedByCurrentThread((PyObject *)self) &&
87
        !_PyObject_GC_IS_SHARED(self))
88
    {
89
        _PyObject_GC_SET_SHARED(self);
90
    }
91
#endif
92
107M
}
93
94
/* Ensure ob_item has room for at least newsize elements, and set
95
 * ob_size to newsize.  If newsize > ob_size on entry, the content
96
 * of the new slots at exit is undefined heap trash; it's the caller's
97
 * responsibility to overwrite them with sane values.
98
 * The number of allocated elements may grow, shrink, or stay the same.
99
 * Failure is impossible if newsize <= self.allocated on entry, although
100
 * that partly relies on an assumption that the system realloc() never
101
 * fails when passed a number of bytes <= the number of bytes last
102
 * allocated (the C standard doesn't guarantee this, but it's hard to
103
 * imagine a realloc implementation where it wouldn't be true).
104
 * Note that self->ob_item may change, and even if newsize is less
105
 * than ob_size on entry.
106
 */
107
static int
108
list_resize(PyListObject *self, Py_ssize_t newsize)
109
125M
{
110
125M
    size_t new_allocated, target_bytes;
111
125M
    Py_ssize_t allocated = self->allocated;
112
113
    /* Bypass realloc() when a previous overallocation is large enough
114
       to accommodate the newsize.  If the newsize falls lower than half
115
       the allocated size, then proceed with the realloc() to shrink the list.
116
    */
117
125M
    if (allocated >= newsize && newsize >= (allocated >> 1)) {
118
17.3M
        assert(self->ob_item != NULL || newsize == 0);
119
17.3M
        Py_SET_SIZE(self, newsize);
120
17.3M
        return 0;
121
17.3M
    }
122
123
    /* This over-allocates proportional to the list size, making room
124
     * for additional growth.  The over-allocation is mild, but is
125
     * enough to give linear-time amortized behavior over a long
126
     * sequence of appends() in the presence of a poorly-performing
127
     * system realloc().
128
     * Add padding to make the allocated size multiple of 4.
129
     * The growth pattern is:  0, 4, 8, 16, 24, 32, 40, 52, 64, 76, ...
130
     * Note: new_allocated won't overflow because the largest possible value
131
     *       is PY_SSIZE_T_MAX * (9 / 8) + 6 which always fits in a size_t.
132
     */
133
107M
    new_allocated = ((size_t)newsize + (newsize >> 3) + 6) & ~(size_t)3;
134
    /* Do not overallocate if the new size is closer to overallocated size
135
     * than to the old size.
136
     */
137
107M
    if (newsize - Py_SIZE(self) > (Py_ssize_t)(new_allocated - newsize))
138
100k
        new_allocated = ((size_t)newsize + 3) & ~(size_t)3;
139
140
107M
    if (newsize == 0)
141
6.18k
        new_allocated = 0;
142
143
107M
    ensure_shared_on_resize(self);
144
145
#ifdef Py_GIL_DISABLED
146
    _PyListArray *array = list_allocate_array(new_allocated);
147
    if (array == NULL) {
148
        PyErr_NoMemory();
149
        return -1;
150
    }
151
    PyObject **old_items = self->ob_item;
152
    if (self->ob_item) {
153
        if (new_allocated < (size_t)allocated) {
154
            target_bytes = new_allocated * sizeof(PyObject*);
155
        }
156
        else {
157
            target_bytes = allocated * sizeof(PyObject*);
158
        }
159
        memcpy(array->ob_item, self->ob_item, target_bytes);
160
    }
161
    if (new_allocated > (size_t)allocated) {
162
        memset(array->ob_item + allocated, 0, sizeof(PyObject *) * (new_allocated - allocated));
163
    }
164
     _Py_atomic_store_ptr_release(&self->ob_item, &array->ob_item);
165
    self->allocated = new_allocated;
166
    Py_SET_SIZE(self, newsize);
167
    if (old_items != NULL) {
168
        free_list_items(old_items, _PyObject_GC_IS_SHARED(self));
169
    }
170
#else
171
107M
    PyObject **items;
172
107M
    if (new_allocated <= (size_t)PY_SSIZE_T_MAX / sizeof(PyObject *)) {
173
107M
        target_bytes = new_allocated * sizeof(PyObject *);
174
107M
        items = (PyObject **)PyMem_Realloc(self->ob_item, target_bytes);
175
107M
    }
176
0
    else {
177
        // integer overflow
178
0
        items = NULL;
179
0
    }
180
107M
    if (items == NULL) {
181
0
        PyErr_NoMemory();
182
0
        return -1;
183
0
    }
184
107M
    self->ob_item = items;
185
107M
    Py_SET_SIZE(self, newsize);
186
107M
    self->allocated = new_allocated;
187
107M
#endif
188
107M
    return 0;
189
107M
}
190
191
static int
192
list_preallocate_exact(PyListObject *self, Py_ssize_t size)
193
6.77M
{
194
6.77M
    PyObject **items;
195
6.77M
    assert(self->ob_item == NULL);
196
6.77M
    assert(size > 0);
197
198
    /* Since the Python memory allocator has granularity of 16 bytes on 64-bit
199
     * platforms (8 on 32-bit), there is no benefit of allocating space for
200
     * the odd number of items, and there is no drawback of rounding the
201
     * allocated size up to the nearest even number.
202
     */
203
6.77M
    size = (size + 1) & ~(size_t)1;
204
#ifdef Py_GIL_DISABLED
205
    _PyListArray *array = list_allocate_array(size);
206
    if (array == NULL) {
207
        PyErr_NoMemory();
208
        return -1;
209
    }
210
    items = array->ob_item;
211
    memset(items, 0, size * sizeof(PyObject *));
212
#else
213
6.77M
    items = PyMem_New(PyObject*, size);
214
6.77M
    if (items == NULL) {
215
0
        PyErr_NoMemory();
216
0
        return -1;
217
0
    }
218
6.77M
#endif
219
6.77M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, items);
220
6.77M
    self->allocated = size;
221
6.77M
    return 0;
222
6.77M
}
223
224
/* Print summary info about the state of the optimized allocator */
225
void
226
_PyList_DebugMallocStats(FILE *out)
227
0
{
228
0
    _PyDebugAllocatorStats(out,
229
0
                           "free PyListObject",
230
0
                            _Py_FREELIST_SIZE(lists),
231
0
                           sizeof(PyListObject));
232
0
}
233
234
PyObject *
235
PyList_New(Py_ssize_t size)
236
292M
{
237
292M
    if (size < 0) {
238
0
        PyErr_BadInternalCall();
239
0
        return NULL;
240
0
    }
241
242
292M
    PyListObject *op = _Py_FREELIST_POP(PyListObject, lists);
243
292M
    if (op == NULL) {
244
43.9M
        op = PyObject_GC_New(PyListObject, &PyList_Type);
245
43.9M
        if (op == NULL) {
246
0
            return NULL;
247
0
        }
248
43.9M
    }
249
292M
    if (size <= 0) {
250
244M
        op->ob_item = NULL;
251
244M
    }
252
48.1M
    else {
253
#ifdef Py_GIL_DISABLED
254
        _PyListArray *array = list_allocate_array(size);
255
        if (array == NULL) {
256
            Py_DECREF(op);
257
            return PyErr_NoMemory();
258
        }
259
        memset(&array->ob_item, 0, size * sizeof(PyObject *));
260
        op->ob_item = array->ob_item;
261
#else
262
48.1M
        op->ob_item = (PyObject **) PyMem_Calloc(size, sizeof(PyObject *));
263
48.1M
#endif
264
48.1M
        if (op->ob_item == NULL) {
265
0
            Py_DECREF(op);
266
0
            return PyErr_NoMemory();
267
0
        }
268
48.1M
    }
269
292M
    Py_SET_SIZE(op, size);
270
292M
    op->allocated = size;
271
292M
    _PyObject_GC_TRACK(op);
272
292M
    return (PyObject *) op;
273
292M
}
274
275
static PyObject *
276
list_new_prealloc(Py_ssize_t size)
277
16.7M
{
278
16.7M
    assert(size > 0);
279
16.7M
    PyListObject *op = (PyListObject *) PyList_New(0);
280
16.7M
    if (op == NULL) {
281
0
        return NULL;
282
0
    }
283
16.7M
    assert(op->ob_item == NULL);
284
#ifdef Py_GIL_DISABLED
285
    _PyListArray *array = list_allocate_array(size);
286
    if (array == NULL) {
287
        Py_DECREF(op);
288
        return PyErr_NoMemory();
289
    }
290
    op->ob_item = array->ob_item;
291
#else
292
16.7M
    op->ob_item = PyMem_New(PyObject *, size);
293
16.7M
    if (op->ob_item == NULL) {
294
0
        Py_DECREF(op);
295
0
        return PyErr_NoMemory();
296
0
    }
297
16.7M
#endif
298
16.7M
    op->allocated = size;
299
16.7M
    return (PyObject *) op;
300
16.7M
}
301
302
Py_ssize_t
303
PyList_Size(PyObject *op)
304
90.2k
{
305
90.2k
    if (!PyList_Check(op)) {
306
0
        PyErr_BadInternalCall();
307
0
        return -1;
308
0
    }
309
90.2k
    else {
310
90.2k
        return PyList_GET_SIZE(op);
311
90.2k
    }
312
90.2k
}
313
314
static inline int
315
valid_index(Py_ssize_t i, Py_ssize_t limit)
316
234M
{
317
    /* The cast to size_t lets us use just a single comparison
318
       to check whether i is in the range: 0 <= i < limit.
319
320
       See:  Section 14.2 "Bounds Checking" in the Agner Fog
321
       optimization manual found at:
322
       https://www.agner.org/optimize/optimizing_cpp.pdf
323
    */
324
234M
    return (size_t) i < (size_t) limit;
325
234M
}
326
327
#ifdef Py_GIL_DISABLED
328
329
static PyObject *
330
list_item_impl(PyListObject *self, Py_ssize_t idx)
331
{
332
    PyObject *item = NULL;
333
    Py_BEGIN_CRITICAL_SECTION(self);
334
    if (!_PyObject_GC_IS_SHARED(self)) {
335
        _PyObject_GC_SET_SHARED(self);
336
    }
337
    Py_ssize_t size = Py_SIZE(self);
338
    if (!valid_index(idx, size)) {
339
        goto exit;
340
    }
341
    item = _Py_NewRefWithLock(self->ob_item[idx]);
342
exit:
343
    Py_END_CRITICAL_SECTION();
344
    return item;
345
}
346
347
static inline PyObject*
348
list_get_item_ref(PyListObject *op, Py_ssize_t i)
349
{
350
    if (!_Py_IsOwnedByCurrentThread((PyObject *)op) && !_PyObject_GC_IS_SHARED(op)) {
351
        return list_item_impl(op, i);
352
    }
353
    // Need atomic operation for the getting size.
354
    Py_ssize_t size = PyList_GET_SIZE(op);
355
    if (!valid_index(i, size)) {
356
        return NULL;
357
    }
358
    PyObject **ob_item = _Py_atomic_load_ptr(&op->ob_item);
359
    if (ob_item == NULL) {
360
        return NULL;
361
    }
362
    Py_ssize_t cap = list_capacity(ob_item);
363
    assert(cap != -1);
364
    if (!valid_index(i, cap)) {
365
        return NULL;
366
    }
367
    PyObject *item = _Py_TryXGetRef(&ob_item[i]);
368
    if (item == NULL) {
369
        return list_item_impl(op, i);
370
    }
371
    return item;
372
}
373
#else
374
static inline PyObject*
375
list_get_item_ref(PyListObject *op, Py_ssize_t i)
376
177M
{
377
177M
    if (!valid_index(i, Py_SIZE(op))) {
378
32.1M
        return NULL;
379
32.1M
    }
380
145M
    return Py_NewRef(PyList_GET_ITEM(op, i));
381
177M
}
382
#endif
383
384
PyObject *
385
PyList_GetItem(PyObject *op, Py_ssize_t i)
386
684
{
387
684
    if (!PyList_Check(op)) {
388
0
        PyErr_BadInternalCall();
389
0
        return NULL;
390
0
    }
391
684
    if (!valid_index(i, Py_SIZE(op))) {
392
0
        _Py_DECLARE_STR(list_err, "list index out of range");
393
0
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
394
0
        return NULL;
395
0
    }
396
684
    return ((PyListObject *)op) -> ob_item[i];
397
684
}
398
399
PyObject *
400
PyList_GetItemRef(PyObject *op, Py_ssize_t i)
401
81.7k
{
402
81.7k
    if (!PyList_Check(op)) {
403
0
        PyErr_SetString(PyExc_TypeError, "expected a list");
404
0
        return NULL;
405
0
    }
406
81.7k
    PyObject *item = list_get_item_ref((PyListObject *)op, i);
407
81.7k
    if (item == NULL) {
408
0
        _Py_DECLARE_STR(list_err, "list index out of range");
409
0
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
410
0
        return NULL;
411
0
    }
412
81.7k
    return item;
413
81.7k
}
414
415
PyObject *
416
_PyList_GetItemRef(PyListObject *list, Py_ssize_t i)
417
561k
{
418
561k
    return list_get_item_ref(list, i);
419
561k
}
420
421
#ifdef Py_GIL_DISABLED
422
int
423
_PyList_GetItemRefNoLock(PyListObject *list, Py_ssize_t i, _PyStackRef *result)
424
{
425
    assert(_Py_IsOwnedByCurrentThread((PyObject *)list) ||
426
           _PyObject_GC_IS_SHARED(list));
427
    if (!valid_index(i, PyList_GET_SIZE(list))) {
428
        return 0;
429
    }
430
    PyObject **ob_item = _Py_atomic_load_ptr(&list->ob_item);
431
    if (ob_item == NULL) {
432
        return 0;
433
    }
434
    Py_ssize_t cap = list_capacity(ob_item);
435
    assert(cap != -1);
436
    if (!valid_index(i, cap)) {
437
        return 0;
438
    }
439
    PyObject *obj = _Py_atomic_load_ptr(&ob_item[i]);
440
    if (obj == NULL || !_Py_TryIncrefCompareStackRef(&ob_item[i], obj, result)) {
441
        return -1;
442
    }
443
    return 1;
444
}
445
#endif
446
447
int
448
PyList_SetItem(PyObject *op, Py_ssize_t i,
449
               PyObject *newitem)
450
26.5k
{
451
26.5k
    if (!PyList_Check(op)) {
452
0
        Py_XDECREF(newitem);
453
0
        PyErr_BadInternalCall();
454
0
        return -1;
455
0
    }
456
26.5k
    int ret;
457
26.5k
    PyListObject *self = ((PyListObject *)op);
458
26.5k
    Py_BEGIN_CRITICAL_SECTION(self);
459
26.5k
    if (!valid_index(i, Py_SIZE(self))) {
460
0
        Py_XDECREF(newitem);
461
0
        PyErr_SetString(PyExc_IndexError,
462
0
                        "list assignment index out of range");
463
0
        ret = -1;
464
0
        goto end;
465
0
    }
466
26.5k
    PyObject *tmp = self->ob_item[i];
467
26.5k
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[i], newitem);
468
26.5k
    Py_XDECREF(tmp);
469
26.5k
    ret = 0;
470
26.5k
end:;
471
26.5k
    Py_END_CRITICAL_SECTION();
472
26.5k
    return ret;
473
26.5k
}
474
475
static int
476
ins1(PyListObject *self, Py_ssize_t where, PyObject *v)
477
1.49k
{
478
1.49k
    Py_ssize_t i, n = Py_SIZE(self);
479
1.49k
    PyObject **items;
480
1.49k
    if (v == NULL) {
481
0
        PyErr_BadInternalCall();
482
0
        return -1;
483
0
    }
484
485
1.49k
    assert((size_t)n + 1 < PY_SSIZE_T_MAX);
486
1.49k
    if (list_resize(self, n+1) < 0)
487
0
        return -1;
488
489
1.49k
    if (where < 0) {
490
0
        where += n;
491
0
        if (where < 0)
492
0
            where = 0;
493
0
    }
494
1.49k
    if (where > n)
495
0
        where = n;
496
1.49k
    items = self->ob_item;
497
11.6k
    for (i = n; --i >= where; )
498
10.1k
        FT_ATOMIC_STORE_PTR_RELAXED(items[i+1], items[i]);
499
1.49k
    FT_ATOMIC_STORE_PTR_RELEASE(items[where], Py_NewRef(v));
500
1.49k
    return 0;
501
1.49k
}
502
503
int
504
PyList_Insert(PyObject *op, Py_ssize_t where, PyObject *newitem)
505
30
{
506
30
    if (!PyList_Check(op)) {
507
0
        PyErr_BadInternalCall();
508
0
        return -1;
509
0
    }
510
30
    PyListObject *self = (PyListObject *)op;
511
30
    int err;
512
30
    Py_BEGIN_CRITICAL_SECTION(self);
513
30
    err = ins1(self, where, newitem);
514
30
    Py_END_CRITICAL_SECTION();
515
30
    return err;
516
30
}
517
518
/* internal, used by _PyList_AppendTakeRef */
519
int
520
_PyList_AppendTakeRefListResize(PyListObject *self, PyObject *newitem)
521
83.0M
{
522
83.0M
    Py_ssize_t len = Py_SIZE(self);
523
83.0M
    assert(self->allocated == -1 || self->allocated == len);
524
83.0M
    if (list_resize(self, len + 1) < 0) {
525
0
        Py_DECREF(newitem);
526
0
        return -1;
527
0
    }
528
83.0M
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], newitem);
529
83.0M
    return 0;
530
83.0M
}
531
532
int
533
PyList_Append(PyObject *op, PyObject *newitem)
534
176M
{
535
176M
    if (PyList_Check(op) && (newitem != NULL)) {
536
176M
        int ret;
537
176M
        Py_BEGIN_CRITICAL_SECTION(op);
538
176M
        ret = _PyList_AppendTakeRef((PyListObject *)op, Py_NewRef(newitem));
539
176M
        Py_END_CRITICAL_SECTION();
540
176M
        return ret;
541
176M
    }
542
0
    PyErr_BadInternalCall();
543
0
    return -1;
544
176M
}
545
546
/* Methods */
547
548
static void
549
list_dealloc(PyObject *self)
550
313M
{
551
313M
    PyListObject *op = (PyListObject *)self;
552
313M
    Py_ssize_t i;
553
313M
    PyObject_GC_UnTrack(op);
554
313M
    if (op->ob_item != NULL) {
555
        /* Do it backwards, for Christian Tismer.
556
           There's a simple test case where somehow this reduces
557
           thrashing when a *very* large list is created and
558
           immediately deleted. */
559
129M
        i = Py_SIZE(op);
560
1.59G
        while (--i >= 0) {
561
1.46G
            Py_XDECREF(op->ob_item[i]);
562
1.46G
        }
563
129M
        free_list_items(op->ob_item, false);
564
129M
        op->ob_item = NULL;
565
129M
    }
566
313M
    if (PyList_CheckExact(op)) {
567
302M
        _Py_FREELIST_FREE(lists, op, PyObject_GC_Del);
568
302M
    }
569
11.4M
    else {
570
11.4M
        PyObject_GC_Del(op);
571
11.4M
    }
572
313M
}
573
574
static PyObject *
575
list_repr_impl(PyListObject *v)
576
4.00M
{
577
4.00M
    int res = Py_ReprEnter((PyObject*)v);
578
4.00M
    if (res != 0) {
579
0
        return (res > 0 ? PyUnicode_FromString("[...]") : NULL);
580
0
    }
581
582
    /* "[" + "1" + ", 2" * (len - 1) + "]" */
583
4.00M
    Py_ssize_t prealloc = 1 + 1 + (2 + 1) * (Py_SIZE(v) - 1) + 1;
584
4.00M
    PyUnicodeWriter *writer = PyUnicodeWriter_Create(prealloc);
585
4.00M
    PyObject *item = NULL;
586
4.00M
    if (writer == NULL) {
587
0
        goto error;
588
0
    }
589
590
4.00M
    if (PyUnicodeWriter_WriteChar(writer, '[') < 0) {
591
0
        goto error;
592
0
    }
593
594
    /* Do repr() on each element.  Note that this may mutate the list,
595
       so must refetch the list size on each iteration. */
596
11.1M
    for (Py_ssize_t i = 0; i < Py_SIZE(v); ++i) {
597
        /* Hold a strong reference since repr(item) can mutate the list */
598
7.10M
        item = Py_NewRef(v->ob_item[i]);
599
600
7.10M
        if (i > 0) {
601
3.09M
            if (PyUnicodeWriter_WriteChar(writer, ',') < 0) {
602
0
                goto error;
603
0
            }
604
3.09M
            if (PyUnicodeWriter_WriteChar(writer, ' ') < 0) {
605
0
                goto error;
606
0
            }
607
3.09M
        }
608
609
7.10M
        if (PyUnicodeWriter_WriteRepr(writer, item) < 0) {
610
0
            goto error;
611
0
        }
612
7.10M
        Py_CLEAR(item);
613
7.10M
    }
614
615
4.00M
    if (PyUnicodeWriter_WriteChar(writer, ']') < 0) {
616
0
        goto error;
617
0
    }
618
619
4.00M
    Py_ReprLeave((PyObject *)v);
620
4.00M
    return PyUnicodeWriter_Finish(writer);
621
622
0
error:
623
0
    Py_XDECREF(item);
624
0
    PyUnicodeWriter_Discard(writer);
625
0
    Py_ReprLeave((PyObject *)v);
626
0
    return NULL;
627
4.00M
}
628
629
static PyObject *
630
list_repr(PyObject *self)
631
4.01M
{
632
4.01M
    if (PyList_GET_SIZE(self) == 0) {
633
6.55k
        return PyUnicode_FromString("[]");
634
6.55k
    }
635
4.00M
    PyListObject *v = (PyListObject *)self;
636
4.00M
    PyObject *ret = NULL;
637
4.00M
    Py_BEGIN_CRITICAL_SECTION(v);
638
4.00M
    ret = list_repr_impl(v);
639
4.00M
    Py_END_CRITICAL_SECTION();
640
4.00M
    return ret;
641
4.01M
}
642
643
static Py_ssize_t
644
list_length(PyObject *a)
645
62.8M
{
646
62.8M
    return PyList_GET_SIZE(a);
647
62.8M
}
648
649
static int
650
list_contains(PyObject *aa, PyObject *el)
651
8.40k
{
652
653
43.5k
    for (Py_ssize_t i = 0; ; i++) {
654
43.5k
        PyObject *item = list_get_item_ref((PyListObject *)aa, i);
655
43.5k
        if (item == NULL) {
656
            // out-of-bounds
657
7.34k
            return 0;
658
7.34k
        }
659
36.2k
        int cmp = PyObject_RichCompareBool(item, el, Py_EQ);
660
36.2k
        Py_DECREF(item);
661
36.2k
        if (cmp != 0) {
662
1.06k
            return cmp;
663
1.06k
        }
664
36.2k
    }
665
0
    return 0;
666
8.40k
}
667
668
static PyObject *
669
list_item(PyObject *aa, Py_ssize_t i)
670
20.0M
{
671
20.0M
    PyListObject *a = (PyListObject *)aa;
672
20.0M
    if (!valid_index(i, PyList_GET_SIZE(a))) {
673
815k
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
674
815k
        return NULL;
675
815k
    }
676
19.2M
    PyObject *item;
677
#ifdef Py_GIL_DISABLED
678
    item = list_get_item_ref(a, i);
679
    if (item == NULL) {
680
        PyErr_SetObject(PyExc_IndexError, &_Py_STR(list_err));
681
        return NULL;
682
    }
683
#else
684
19.2M
    item = Py_NewRef(a->ob_item[i]);
685
19.2M
#endif
686
19.2M
    return item;
687
20.0M
}
688
689
static PyObject *
690
list_slice_lock_held(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh)
691
2.89M
{
692
2.89M
    PyListObject *np;
693
2.89M
    PyObject **src, **dest;
694
2.89M
    Py_ssize_t i, len;
695
2.89M
    len = ihigh - ilow;
696
2.89M
    if (len <= 0) {
697
0
        return PyList_New(0);
698
0
    }
699
2.89M
    np = (PyListObject *) list_new_prealloc(len);
700
2.89M
    if (np == NULL)
701
0
        return NULL;
702
703
2.89M
    src = a->ob_item + ilow;
704
2.89M
    dest = np->ob_item;
705
29.7M
    for (i = 0; i < len; i++) {
706
26.8M
        PyObject *v = src[i];
707
26.8M
        dest[i] = Py_NewRef(v);
708
26.8M
    }
709
2.89M
    Py_SET_SIZE(np, len);
710
2.89M
    return (PyObject *)np;
711
2.89M
}
712
713
PyObject *
714
PyList_GetSlice(PyObject *a, Py_ssize_t ilow, Py_ssize_t ihigh)
715
0
{
716
0
    if (!PyList_Check(a)) {
717
0
        PyErr_BadInternalCall();
718
0
        return NULL;
719
0
    }
720
0
    PyObject *ret;
721
0
    Py_BEGIN_CRITICAL_SECTION(a);
722
0
    if (ilow < 0) {
723
0
        ilow = 0;
724
0
    }
725
0
    else if (ilow > Py_SIZE(a)) {
726
0
        ilow = Py_SIZE(a);
727
0
    }
728
0
    if (ihigh < ilow) {
729
0
        ihigh = ilow;
730
0
    }
731
0
    else if (ihigh > Py_SIZE(a)) {
732
0
        ihigh = Py_SIZE(a);
733
0
    }
734
0
    ret = list_slice_lock_held((PyListObject *)a, ilow, ihigh);
735
0
    Py_END_CRITICAL_SECTION();
736
0
    return ret;
737
0
}
738
739
static PyObject *
740
list_concat_lock_held(PyListObject *a, PyListObject *b)
741
21.3M
{
742
21.3M
    Py_ssize_t size;
743
21.3M
    Py_ssize_t i;
744
21.3M
    PyObject **src, **dest;
745
21.3M
    PyListObject *np;
746
21.3M
    assert((size_t)Py_SIZE(a) + (size_t)Py_SIZE(b) < PY_SSIZE_T_MAX);
747
21.3M
    size = Py_SIZE(a) + Py_SIZE(b);
748
21.3M
    if (size == 0) {
749
7.56M
        return PyList_New(0);
750
7.56M
    }
751
13.8M
    np = (PyListObject *) list_new_prealloc(size);
752
13.8M
    if (np == NULL) {
753
0
        return NULL;
754
0
    }
755
13.8M
    src = a->ob_item;
756
13.8M
    dest = np->ob_item;
757
326M
    for (i = 0; i < Py_SIZE(a); i++) {
758
312M
        PyObject *v = src[i];
759
312M
        dest[i] = Py_NewRef(v);
760
312M
    }
761
13.8M
    src = b->ob_item;
762
13.8M
    dest = np->ob_item + Py_SIZE(a);
763
270M
    for (i = 0; i < Py_SIZE(b); i++) {
764
256M
        PyObject *v = src[i];
765
256M
        dest[i] = Py_NewRef(v);
766
256M
    }
767
13.8M
    Py_SET_SIZE(np, size);
768
13.8M
    return (PyObject *)np;
769
13.8M
}
770
771
static PyObject *
772
list_concat(PyObject *aa, PyObject *bb)
773
21.3M
{
774
21.3M
    if (!PyList_Check(bb)) {
775
0
        PyErr_Format(PyExc_TypeError,
776
0
                  "can only concatenate list (not \"%.200s\") to list",
777
0
                  Py_TYPE(bb)->tp_name);
778
0
        return NULL;
779
0
    }
780
21.3M
    PyListObject *a = (PyListObject *)aa;
781
21.3M
    PyListObject *b = (PyListObject *)bb;
782
21.3M
    PyObject *ret;
783
21.3M
    Py_BEGIN_CRITICAL_SECTION2(a, b);
784
21.3M
    ret = list_concat_lock_held(a, b);
785
21.3M
    Py_END_CRITICAL_SECTION2();
786
21.3M
    return ret;
787
21.3M
}
788
789
static PyObject *
790
list_repeat_lock_held(PyListObject *a, Py_ssize_t n)
791
17.3k
{
792
17.3k
    const Py_ssize_t input_size = Py_SIZE(a);
793
17.3k
    if (input_size == 0 || n <= 0)
794
2.25k
        return PyList_New(0);
795
17.3k
    assert(n > 0);
796
797
15.1k
    if (input_size > PY_SSIZE_T_MAX / n)
798
0
        return PyErr_NoMemory();
799
15.1k
    Py_ssize_t output_size = input_size * n;
800
801
15.1k
    PyListObject *np = (PyListObject *) list_new_prealloc(output_size);
802
15.1k
    if (np == NULL)
803
0
        return NULL;
804
805
15.1k
    PyObject **dest = np->ob_item;
806
15.1k
    if (input_size == 1) {
807
15.1k
        PyObject *elem = a->ob_item[0];
808
15.1k
        _Py_RefcntAdd(elem, n);
809
15.1k
        PyObject **dest_end = dest + output_size;
810
14.2M
        while (dest < dest_end) {
811
14.2M
            *dest++ = elem;
812
14.2M
        }
813
15.1k
    }
814
0
    else {
815
0
        PyObject **src = a->ob_item;
816
0
        PyObject **src_end = src + input_size;
817
0
        while (src < src_end) {
818
0
            _Py_RefcntAdd(*src, n);
819
0
            *dest++ = *src++;
820
0
        }
821
        // TODO: _Py_memory_repeat calls are not safe for shared lists in
822
        // GIL_DISABLED builds. (See issue #129069)
823
0
        _Py_memory_repeat((char *)np->ob_item, sizeof(PyObject *)*output_size,
824
0
                                        sizeof(PyObject *)*input_size);
825
0
    }
826
827
15.1k
    Py_SET_SIZE(np, output_size);
828
15.1k
    return (PyObject *) np;
829
15.1k
}
830
831
static PyObject *
832
list_repeat(PyObject *aa, Py_ssize_t n)
833
17.3k
{
834
17.3k
    PyObject *ret;
835
17.3k
    PyListObject *a = (PyListObject *)aa;
836
17.3k
    Py_BEGIN_CRITICAL_SECTION(a);
837
17.3k
    ret = list_repeat_lock_held(a, n);
838
17.3k
    Py_END_CRITICAL_SECTION();
839
17.3k
    return ret;
840
17.3k
}
841
842
static void
843
list_clear_impl(PyListObject *a, bool is_resize)
844
15.2M
{
845
15.2M
    PyObject **items = a->ob_item;
846
15.2M
    if (items == NULL) {
847
0
        return;
848
0
    }
849
850
    /* Because XDECREF can recursively invoke operations on
851
       this list, we make it empty first. */
852
15.2M
    Py_ssize_t i = Py_SIZE(a);
853
15.2M
    Py_SET_SIZE(a, 0);
854
15.2M
    FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item, NULL);
855
15.2M
    a->allocated = 0;
856
30.6M
    while (--i >= 0) {
857
15.4M
        Py_XDECREF(items[i]);
858
15.4M
    }
859
#ifdef Py_GIL_DISABLED
860
    if (is_resize) {
861
        ensure_shared_on_resize(a);
862
    }
863
    bool use_qsbr = is_resize && _PyObject_GC_IS_SHARED(a);
864
#else
865
15.2M
    bool use_qsbr = false;
866
15.2M
#endif
867
15.2M
    free_list_items(items, use_qsbr);
868
    // Note that there is no guarantee that the list is actually empty
869
    // at this point, because XDECREF may have populated it indirectly again!
870
15.2M
}
871
872
static void
873
list_clear(PyListObject *a)
874
15.2M
{
875
15.2M
    list_clear_impl(a, true);
876
15.2M
}
877
878
static int
879
list_clear_slot(PyObject *self)
880
0
{
881
0
    list_clear_impl((PyListObject *)self, false);
882
0
    return 0;
883
0
}
884
885
/* a[ilow:ihigh] = v if v != NULL.
886
 * del a[ilow:ihigh] if v == NULL.
887
 *
888
 * Special speed gimmick:  when v is NULL and ihigh - ilow <= 8, it's
889
 * guaranteed the call cannot fail.
890
 */
891
static int
892
list_ass_slice_lock_held(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
893
4.29M
{
894
    /* Because [X]DECREF can recursively invoke list operations on
895
       this list, we must postpone all [X]DECREF activity until
896
       after the list is back in its canonical shape.  Therefore
897
       we must allocate an additional array, 'recycle', into which
898
       we temporarily copy the items that are deleted from the
899
       list. :-( */
900
4.29M
    PyObject *recycle_on_stack[8];
901
4.29M
    PyObject **recycle = recycle_on_stack; /* will allocate more if needed */
902
4.29M
    PyObject **item;
903
4.29M
    PyObject **vitem = NULL;
904
4.29M
    PyObject *v_as_SF = NULL; /* PySequence_Fast(v) */
905
4.29M
    Py_ssize_t n; /* # of elements in replacement list */
906
4.29M
    Py_ssize_t norig; /* # of elements in list getting replaced */
907
4.29M
    Py_ssize_t d; /* Change in size */
908
4.29M
    Py_ssize_t k;
909
4.29M
    size_t s;
910
4.29M
    int result = -1;            /* guilty until proved innocent */
911
4.29M
#define b ((PyListObject *)v)
912
4.29M
    if (v == NULL)
913
4.03M
        n = 0;
914
253k
    else {
915
253k
        v_as_SF = PySequence_Fast(v, "can only assign an iterable");
916
253k
        if(v_as_SF == NULL)
917
0
            goto Error;
918
253k
        n = PySequence_Fast_GET_SIZE(v_as_SF);
919
253k
        vitem = PySequence_Fast_ITEMS(v_as_SF);
920
253k
    }
921
4.29M
    if (ilow < 0)
922
0
        ilow = 0;
923
4.29M
    else if (ilow > Py_SIZE(a))
924
0
        ilow = Py_SIZE(a);
925
926
4.29M
    if (ihigh < ilow)
927
0
        ihigh = ilow;
928
4.29M
    else if (ihigh > Py_SIZE(a))
929
0
        ihigh = Py_SIZE(a);
930
931
4.29M
    norig = ihigh - ilow;
932
4.29M
    assert(norig >= 0);
933
4.29M
    d = n - norig;
934
4.29M
    if (Py_SIZE(a) + d == 0) {
935
560k
        Py_XDECREF(v_as_SF);
936
560k
        list_clear(a);
937
560k
        return 0;
938
560k
    }
939
3.73M
    item = a->ob_item;
940
    /* recycle the items that we are about to remove */
941
3.73M
    s = norig * sizeof(PyObject *);
942
    /* If norig == 0, item might be NULL, in which case we may not memcpy from it. */
943
3.73M
    if (s) {
944
3.50M
        if (s > sizeof(recycle_on_stack)) {
945
149
            recycle = (PyObject **)PyMem_Malloc(s);
946
149
            if (recycle == NULL) {
947
0
                PyErr_NoMemory();
948
0
                goto Error;
949
0
            }
950
149
        }
951
3.50M
        memcpy(recycle, &item[ilow], s);
952
3.50M
    }
953
954
3.73M
    if (d < 0) { /* Delete -d items */
955
3.50M
        Py_ssize_t tail;
956
3.50M
        tail = (Py_SIZE(a) - ihigh) * sizeof(PyObject *);
957
        // TODO: these memmove/memcpy calls are not safe for shared lists in
958
        // GIL_DISABLED builds. (See issue #129069)
959
3.50M
        memmove(&item[ihigh+d], &item[ihigh], tail);
960
3.50M
        if (list_resize(a, Py_SIZE(a) + d) < 0) {
961
0
            memmove(&item[ihigh], &item[ihigh+d], tail);
962
0
            memcpy(&item[ilow], recycle, s);
963
0
            goto Error;
964
0
        }
965
3.50M
        item = a->ob_item;
966
3.50M
    }
967
227k
    else if (d > 0) { /* Insert d items */
968
227k
        k = Py_SIZE(a);
969
227k
        if (list_resize(a, k+d) < 0)
970
0
            goto Error;
971
227k
        item = a->ob_item;
972
        // TODO: these memmove/memcpy calls are not safe for shared lists in
973
        // GIL_DISABLED builds. (See issue #129069)
974
227k
        memmove(&item[ihigh+d], &item[ihigh],
975
227k
            (k - ihigh)*sizeof(PyObject *));
976
227k
    }
977
7.27M
    for (k = 0; k < n; k++, ilow++) {
978
3.54M
        PyObject *w = vitem[k];
979
3.54M
        FT_ATOMIC_STORE_PTR_RELEASE(item[ilow], Py_XNewRef(w));
980
3.54M
    }
981
7.24M
    for (k = norig - 1; k >= 0; --k)
982
3.51M
        Py_XDECREF(recycle[k]);
983
3.73M
    result = 0;
984
3.73M
 Error:
985
3.73M
    if (recycle != recycle_on_stack)
986
149
        PyMem_Free(recycle);
987
3.73M
    Py_XDECREF(v_as_SF);
988
3.73M
    return result;
989
3.73M
#undef b
990
3.73M
}
991
992
static int
993
list_ass_slice(PyListObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
994
4.02M
{
995
4.02M
    int ret;
996
4.02M
    if (a == (PyListObject *)v) {
997
0
        Py_BEGIN_CRITICAL_SECTION(a);
998
0
        Py_ssize_t n = PyList_GET_SIZE(a);
999
0
        PyObject *copy = list_slice_lock_held(a, 0, n);
1000
0
        if (copy == NULL) {
1001
0
            ret = -1;
1002
0
        }
1003
0
        else {
1004
0
            ret = list_ass_slice_lock_held(a, ilow, ihigh, copy);
1005
0
            Py_DECREF(copy);
1006
0
        }
1007
0
        Py_END_CRITICAL_SECTION();
1008
0
    }
1009
4.02M
    else if (v != NULL && PyList_CheckExact(v)) {
1010
259
        Py_BEGIN_CRITICAL_SECTION2(a, v);
1011
259
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1012
259
        Py_END_CRITICAL_SECTION2();
1013
259
    }
1014
4.02M
    else {
1015
4.02M
        Py_BEGIN_CRITICAL_SECTION(a);
1016
4.02M
        ret = list_ass_slice_lock_held(a, ilow, ihigh, v);
1017
4.02M
        Py_END_CRITICAL_SECTION();
1018
4.02M
    }
1019
4.02M
    return ret;
1020
4.02M
}
1021
1022
int
1023
PyList_SetSlice(PyObject *a, Py_ssize_t ilow, Py_ssize_t ihigh, PyObject *v)
1024
4.02M
{
1025
4.02M
    if (!PyList_Check(a)) {
1026
0
        PyErr_BadInternalCall();
1027
0
        return -1;
1028
0
    }
1029
4.02M
    return list_ass_slice((PyListObject *)a, ilow, ihigh, v);
1030
4.02M
}
1031
1032
static int
1033
list_inplace_repeat_lock_held(PyListObject *self, Py_ssize_t n)
1034
0
{
1035
0
    Py_ssize_t input_size = PyList_GET_SIZE(self);
1036
0
    if (input_size == 0 || n == 1) {
1037
0
        return 0;
1038
0
    }
1039
1040
0
    if (n < 1) {
1041
0
        list_clear(self);
1042
0
        return 0;
1043
0
    }
1044
1045
0
    if (input_size > PY_SSIZE_T_MAX / n) {
1046
0
        PyErr_NoMemory();
1047
0
        return -1;
1048
0
    }
1049
0
    Py_ssize_t output_size = input_size * n;
1050
1051
0
    if (list_resize(self, output_size) < 0) {
1052
0
        return -1;
1053
0
    }
1054
1055
0
    PyObject **items = self->ob_item;
1056
0
    for (Py_ssize_t j = 0; j < input_size; j++) {
1057
0
        _Py_RefcntAdd(items[j], n-1);
1058
0
    }
1059
    // TODO: _Py_memory_repeat calls are not safe for shared lists in
1060
    // GIL_DISABLED builds. (See issue #129069)
1061
0
    _Py_memory_repeat((char *)items, sizeof(PyObject *)*output_size,
1062
0
                      sizeof(PyObject *)*input_size);
1063
0
    return 0;
1064
0
}
1065
1066
static PyObject *
1067
list_inplace_repeat(PyObject *_self, Py_ssize_t n)
1068
0
{
1069
0
    PyObject *ret;
1070
0
    PyListObject *self = (PyListObject *) _self;
1071
0
    Py_BEGIN_CRITICAL_SECTION(self);
1072
0
    if (list_inplace_repeat_lock_held(self, n) < 0) {
1073
0
        ret = NULL;
1074
0
    }
1075
0
    else {
1076
0
        ret = Py_NewRef(self);
1077
0
    }
1078
0
    Py_END_CRITICAL_SECTION();
1079
0
    return ret;
1080
0
}
1081
1082
static int
1083
list_ass_item_lock_held(PyListObject *a, Py_ssize_t i, PyObject *v)
1084
710k
{
1085
710k
    if (!valid_index(i, Py_SIZE(a))) {
1086
0
        PyErr_SetString(PyExc_IndexError,
1087
0
                        "list assignment index out of range");
1088
0
        return -1;
1089
0
    }
1090
710k
    PyObject *tmp = a->ob_item[i];
1091
710k
    if (v == NULL) {
1092
10.9k
        Py_ssize_t size = Py_SIZE(a);
1093
4.46M
        for (Py_ssize_t idx = i; idx < size - 1; idx++) {
1094
4.45M
            FT_ATOMIC_STORE_PTR_RELAXED(a->ob_item[idx], a->ob_item[idx + 1]);
1095
4.45M
        }
1096
10.9k
        Py_SET_SIZE(a, size - 1);
1097
10.9k
    }
1098
699k
    else {
1099
699k
        FT_ATOMIC_STORE_PTR_RELEASE(a->ob_item[i], Py_NewRef(v));
1100
699k
    }
1101
710k
    Py_DECREF(tmp);
1102
710k
    return 0;
1103
710k
}
1104
1105
static int
1106
list_ass_item(PyObject *aa, Py_ssize_t i, PyObject *v)
1107
8.00k
{
1108
8.00k
    int ret;
1109
8.00k
    PyListObject *a = (PyListObject *)aa;
1110
8.00k
    Py_BEGIN_CRITICAL_SECTION(a);
1111
8.00k
    ret = list_ass_item_lock_held(a, i, v);
1112
8.00k
    Py_END_CRITICAL_SECTION();
1113
8.00k
    return ret;
1114
8.00k
}
1115
1116
/*[clinic input]
1117
@critical_section
1118
list.insert
1119
1120
    index: Py_ssize_t
1121
    object: object
1122
    /
1123
1124
Insert object before index.
1125
[clinic start generated code]*/
1126
1127
static PyObject *
1128
list_insert_impl(PyListObject *self, Py_ssize_t index, PyObject *object)
1129
/*[clinic end generated code: output=7f35e32f60c8cb78 input=b1987ca998a4ae2d]*/
1130
1.46k
{
1131
1.46k
    if (ins1(self, index, object) == 0) {
1132
1.46k
        Py_RETURN_NONE;
1133
1.46k
    }
1134
0
    return NULL;
1135
1.46k
}
1136
1137
/*[clinic input]
1138
@critical_section
1139
list.clear as py_list_clear
1140
1141
Remove all items from list.
1142
[clinic start generated code]*/
1143
1144
static PyObject *
1145
py_list_clear_impl(PyListObject *self)
1146
/*[clinic end generated code: output=83726743807e3518 input=e285b7f09051a9ba]*/
1147
169
{
1148
169
    list_clear(self);
1149
169
    Py_RETURN_NONE;
1150
169
}
1151
1152
/*[clinic input]
1153
@critical_section
1154
list.copy
1155
1156
Return a shallow copy of the list.
1157
[clinic start generated code]*/
1158
1159
static PyObject *
1160
list_copy_impl(PyListObject *self)
1161
/*[clinic end generated code: output=ec6b72d6209d418e input=81c54b0c7bb4f73d]*/
1162
0
{
1163
0
    return list_slice_lock_held(self, 0, Py_SIZE(self));
1164
0
}
1165
1166
/*[clinic input]
1167
@critical_section
1168
list.append
1169
1170
     object: object
1171
     /
1172
1173
Append object to the end of the list.
1174
[clinic start generated code]*/
1175
1176
static PyObject *
1177
list_append_impl(PyListObject *self, PyObject *object)
1178
/*[clinic end generated code: output=78423561d92ed405 input=122b0853de54004f]*/
1179
120M
{
1180
120M
    if (_PyList_AppendTakeRef(self, Py_NewRef(object)) < 0) {
1181
0
        return NULL;
1182
0
    }
1183
120M
    Py_RETURN_NONE;
1184
120M
}
1185
1186
static int
1187
list_extend_fast(PyListObject *self, PyObject *iterable)
1188
22.3M
{
1189
22.3M
    Py_ssize_t n = PySequence_Fast_GET_SIZE(iterable);
1190
22.3M
    if (n == 0) {
1191
        /* short circuit when iterable is empty */
1192
9.16M
        return 0;
1193
9.16M
    }
1194
1195
13.2M
    Py_ssize_t m = Py_SIZE(self);
1196
    // It should not be possible to allocate a list large enough to cause
1197
    // an overflow on any relevant platform.
1198
13.2M
    assert(m < PY_SSIZE_T_MAX - n);
1199
13.2M
    if (self->ob_item == NULL) {
1200
1.36M
        if (list_preallocate_exact(self, n) < 0) {
1201
0
            return -1;
1202
0
        }
1203
1.36M
        Py_SET_SIZE(self, n);
1204
1.36M
    }
1205
11.8M
    else if (list_resize(self, m + n) < 0) {
1206
0
        return -1;
1207
0
    }
1208
1209
    // note that we may still have self == iterable here for the
1210
    // situation a.extend(a), but the following code works
1211
    // in that case too.  Just make sure to resize self
1212
    // before calling PySequence_Fast_ITEMS.
1213
    //
1214
    // populate the end of self with iterable's items.
1215
13.2M
    PyObject **src = PySequence_Fast_ITEMS(iterable);
1216
13.2M
    PyObject **dest = self->ob_item + m;
1217
53.3M
    for (Py_ssize_t i = 0; i < n; i++) {
1218
40.0M
        PyObject *o = src[i];
1219
40.0M
        FT_ATOMIC_STORE_PTR_RELEASE(dest[i], Py_NewRef(o));
1220
40.0M
    }
1221
13.2M
    return 0;
1222
13.2M
}
1223
1224
static int
1225
list_extend_iter_lock_held(PyListObject *self, PyObject *iterable)
1226
6.11M
{
1227
6.11M
    PyObject *it = PyObject_GetIter(iterable);
1228
6.11M
    if (it == NULL) {
1229
0
        return -1;
1230
0
    }
1231
6.11M
    PyObject *(*iternext)(PyObject *) = *Py_TYPE(it)->tp_iternext;
1232
1233
    /* Guess a result list size. */
1234
6.11M
    Py_ssize_t n = PyObject_LengthHint(iterable, 8);
1235
6.11M
    if (n < 0) {
1236
0
        Py_DECREF(it);
1237
0
        return -1;
1238
0
    }
1239
1240
6.11M
    Py_ssize_t m = Py_SIZE(self);
1241
6.11M
    if (m > PY_SSIZE_T_MAX - n) {
1242
        /* m + n overflowed; on the chance that n lied, and there really
1243
         * is enough room, ignore it.  If n was telling the truth, we'll
1244
         * eventually run out of memory during the loop.
1245
         */
1246
0
    }
1247
6.11M
    else if (self->ob_item == NULL) {
1248
5.81M
        if (n && list_preallocate_exact(self, n) < 0)
1249
0
            goto error;
1250
5.81M
    }
1251
297k
    else {
1252
        /* Make room. */
1253
297k
        if (list_resize(self, m + n) < 0) {
1254
0
            goto error;
1255
0
        }
1256
1257
        /* Make the list sane again. */
1258
297k
        Py_SET_SIZE(self, m);
1259
297k
    }
1260
1261
    /* Run iterator to exhaustion. */
1262
76.2M
    for (;;) {
1263
76.2M
        PyObject *item = iternext(it);
1264
76.2M
        if (item == NULL) {
1265
6.11M
            if (PyErr_Occurred()) {
1266
648
                if (PyErr_ExceptionMatches(PyExc_StopIteration))
1267
0
                    PyErr_Clear();
1268
648
                else
1269
648
                    goto error;
1270
648
            }
1271
6.11M
            break;
1272
6.11M
        }
1273
1274
70.1M
        if (Py_SIZE(self) < self->allocated) {
1275
68.8M
            Py_ssize_t len = Py_SIZE(self);
1276
68.8M
            FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item[len], item);  // steals item ref
1277
68.8M
            Py_SET_SIZE(self, len + 1);
1278
68.8M
        }
1279
1.23M
        else {
1280
1.23M
            if (_PyList_AppendTakeRef(self, item) < 0)
1281
0
                goto error;
1282
1.23M
        }
1283
70.1M
    }
1284
1285
    /* Cut back result list if initial guess was too large. */
1286
6.11M
    if (Py_SIZE(self) < self->allocated) {
1287
4.55M
        if (list_resize(self, Py_SIZE(self)) < 0)
1288
0
            goto error;
1289
4.55M
    }
1290
1291
6.11M
    Py_DECREF(it);
1292
6.11M
    return 0;
1293
1294
648
  error:
1295
648
    Py_DECREF(it);
1296
648
    return -1;
1297
6.11M
}
1298
1299
static int
1300
list_extend_lock_held(PyListObject *self, PyObject *iterable)
1301
22.3M
{
1302
22.3M
    PyObject *seq = PySequence_Fast(iterable, "argument must be iterable");
1303
22.3M
    if (!seq) {
1304
0
        return -1;
1305
0
    }
1306
1307
22.3M
    int res = list_extend_fast(self, seq);
1308
22.3M
    Py_DECREF(seq);
1309
22.3M
    return res;
1310
22.3M
}
1311
1312
static int
1313
list_extend_set(PyListObject *self, PySetObject *other)
1314
20.5k
{
1315
20.5k
    Py_ssize_t m = Py_SIZE(self);
1316
20.5k
    Py_ssize_t n = PySet_GET_SIZE(other);
1317
20.5k
    Py_ssize_t r = m + n;
1318
20.5k
    if (r == 0) {
1319
964
        return 0;
1320
964
    }
1321
19.5k
    if (list_resize(self, r) < 0) {
1322
0
        return -1;
1323
0
    }
1324
1325
19.5k
    assert(self->ob_item != NULL);
1326
    /* populate the end of self with iterable's items */
1327
19.5k
    Py_ssize_t setpos = 0;
1328
19.5k
    Py_hash_t hash;
1329
19.5k
    PyObject *key;
1330
19.5k
    PyObject **dest = self->ob_item + m;
1331
99.1k
    while (_PySet_NextEntryRef((PyObject *)other, &setpos, &key, &hash)) {
1332
79.5k
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, key);
1333
79.5k
        dest++;
1334
79.5k
    }
1335
19.5k
    Py_SET_SIZE(self, r);
1336
19.5k
    return 0;
1337
19.5k
}
1338
1339
static int
1340
list_extend_dict(PyListObject *self, PyDictObject *dict, int which_item)
1341
459k
{
1342
    // which_item: 0 for keys and 1 for values
1343
459k
    Py_ssize_t m = Py_SIZE(self);
1344
459k
    Py_ssize_t n = PyDict_GET_SIZE(dict);
1345
459k
    Py_ssize_t r = m + n;
1346
459k
    if (r == 0) {
1347
0
        return 0;
1348
0
    }
1349
459k
    if (list_resize(self, r) < 0) {
1350
0
        return -1;
1351
0
    }
1352
1353
459k
    assert(self->ob_item != NULL);
1354
459k
    PyObject **dest = self->ob_item + m;
1355
459k
    Py_ssize_t pos = 0;
1356
459k
    PyObject *keyvalue[2];
1357
1.83M
    while (_PyDict_Next((PyObject *)dict, &pos, &keyvalue[0], &keyvalue[1], NULL)) {
1358
1.37M
        PyObject *obj = keyvalue[which_item];
1359
1.37M
        Py_INCREF(obj);
1360
1.37M
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, obj);
1361
1.37M
        dest++;
1362
1.37M
    }
1363
1364
459k
    Py_SET_SIZE(self, r);
1365
459k
    return 0;
1366
459k
}
1367
1368
static int
1369
list_extend_dictitems(PyListObject *self, PyDictObject *dict)
1370
0
{
1371
0
    Py_ssize_t m = Py_SIZE(self);
1372
0
    Py_ssize_t n = PyDict_GET_SIZE(dict);
1373
0
    Py_ssize_t r = m + n;
1374
0
    if (r == 0) {
1375
0
        return 0;
1376
0
    }
1377
0
    if (list_resize(self, r) < 0) {
1378
0
        return -1;
1379
0
    }
1380
1381
0
    assert(self->ob_item != NULL);
1382
0
    PyObject **dest = self->ob_item + m;
1383
0
    Py_ssize_t pos = 0;
1384
0
    Py_ssize_t i = 0;
1385
0
    PyObject *key_value[2];
1386
0
    while (_PyDict_Next((PyObject *)dict, &pos, &key_value[0], &key_value[1], NULL)) {
1387
0
        PyObject *item = PyTuple_FromArray(key_value, 2);
1388
0
        if (item == NULL) {
1389
0
            Py_SET_SIZE(self, m + i);
1390
0
            return -1;
1391
0
        }
1392
0
        FT_ATOMIC_STORE_PTR_RELEASE(*dest, item);
1393
0
        dest++;
1394
0
        i++;
1395
0
    }
1396
1397
0
    Py_SET_SIZE(self, r);
1398
0
    return 0;
1399
0
}
1400
1401
static int
1402
_list_extend(PyListObject *self, PyObject *iterable)
1403
28.9M
{
1404
    // Special case:
1405
    // lists and tuples which can use PySequence_Fast ops
1406
28.9M
    int res = -1;
1407
28.9M
    if ((PyObject *)self == iterable) {
1408
0
        Py_BEGIN_CRITICAL_SECTION(self);
1409
0
        res = list_inplace_repeat_lock_held(self, 2);
1410
0
        Py_END_CRITICAL_SECTION();
1411
0
    }
1412
28.9M
    else if (PyList_CheckExact(iterable)) {
1413
10.5M
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1414
10.5M
        res = list_extend_lock_held(self, iterable);
1415
10.5M
        Py_END_CRITICAL_SECTION2();
1416
10.5M
    }
1417
18.4M
    else if (PyTuple_CheckExact(iterable)) {
1418
11.8M
        Py_BEGIN_CRITICAL_SECTION(self);
1419
11.8M
        res = list_extend_lock_held(self, iterable);
1420
11.8M
        Py_END_CRITICAL_SECTION();
1421
11.8M
    }
1422
6.59M
    else if (PyAnySet_CheckExact(iterable)) {
1423
20.5k
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1424
20.5k
        res = list_extend_set(self, (PySetObject *)iterable);
1425
20.5k
        Py_END_CRITICAL_SECTION2();
1426
20.5k
    }
1427
6.57M
    else if (PyDict_CheckExact(iterable)) {
1428
459k
        Py_BEGIN_CRITICAL_SECTION2(self, iterable);
1429
459k
        res = list_extend_dict(self, (PyDictObject *)iterable, 0 /*keys*/);
1430
459k
        Py_END_CRITICAL_SECTION2();
1431
459k
    }
1432
6.11M
    else if (Py_IS_TYPE(iterable, &PyDictKeys_Type)) {
1433
0
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1434
0
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1435
0
        res = list_extend_dict(self, dict, 0 /*keys*/);
1436
0
        Py_END_CRITICAL_SECTION2();
1437
0
    }
1438
6.11M
    else if (Py_IS_TYPE(iterable, &PyDictValues_Type)) {
1439
4
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1440
4
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1441
4
        res = list_extend_dict(self, dict, 1 /*values*/);
1442
4
        Py_END_CRITICAL_SECTION2();
1443
4
    }
1444
6.11M
    else if (Py_IS_TYPE(iterable, &PyDictItems_Type)) {
1445
0
        PyDictObject *dict = ((_PyDictViewObject *)iterable)->dv_dict;
1446
0
        Py_BEGIN_CRITICAL_SECTION2(self, dict);
1447
0
        res = list_extend_dictitems(self, dict);
1448
0
        Py_END_CRITICAL_SECTION2();
1449
0
    }
1450
6.11M
    else {
1451
6.11M
        Py_BEGIN_CRITICAL_SECTION(self);
1452
6.11M
        res = list_extend_iter_lock_held(self, iterable);
1453
6.11M
        Py_END_CRITICAL_SECTION();
1454
6.11M
    }
1455
28.9M
    return res;
1456
28.9M
}
1457
1458
/*[clinic input]
1459
list.extend as list_extend
1460
1461
     iterable: object
1462
     /
1463
1464
Extend list by appending elements from the iterable.
1465
[clinic start generated code]*/
1466
1467
static PyObject *
1468
list_extend_impl(PyListObject *self, PyObject *iterable)
1469
/*[clinic end generated code: output=b0eba9e0b186d5ce input=979da7597a515791]*/
1470
18.6M
{
1471
18.6M
    if (_list_extend(self, iterable) < 0) {
1472
648
        return NULL;
1473
648
    }
1474
18.6M
    Py_RETURN_NONE;
1475
18.6M
}
1476
1477
PyObject *
1478
_PyList_Extend(PyListObject *self, PyObject *iterable)
1479
17.4M
{
1480
17.4M
    return list_extend((PyObject*)self, iterable);
1481
17.4M
}
1482
1483
int
1484
PyList_Extend(PyObject *self, PyObject *iterable)
1485
0
{
1486
0
    if (!PyList_Check(self)) {
1487
0
        PyErr_BadInternalCall();
1488
0
        return -1;
1489
0
    }
1490
0
    return _list_extend((PyListObject*)self, iterable);
1491
0
}
1492
1493
1494
int
1495
PyList_Clear(PyObject *self)
1496
0
{
1497
0
    if (!PyList_Check(self)) {
1498
0
        PyErr_BadInternalCall();
1499
0
        return -1;
1500
0
    }
1501
0
    Py_BEGIN_CRITICAL_SECTION(self);
1502
0
    list_clear((PyListObject*)self);
1503
0
    Py_END_CRITICAL_SECTION();
1504
0
    return 0;
1505
0
}
1506
1507
1508
static PyObject *
1509
list_inplace_concat(PyObject *_self, PyObject *other)
1510
377k
{
1511
377k
    PyListObject *self = (PyListObject *)_self;
1512
377k
    if (_list_extend(self, other) < 0) {
1513
0
        return NULL;
1514
0
    }
1515
377k
    return Py_NewRef(self);
1516
377k
}
1517
1518
/*[clinic input]
1519
@critical_section
1520
list.pop
1521
1522
    index: Py_ssize_t = -1
1523
    /
1524
1525
Remove and return item at index (default last).
1526
1527
Raises IndexError if list is empty or index is out of range.
1528
[clinic start generated code]*/
1529
1530
static PyObject *
1531
list_pop_impl(PyListObject *self, Py_ssize_t index)
1532
/*[clinic end generated code: output=6bd69dcb3f17eca8 input=c269141068ae4b8f]*/
1533
35.8M
{
1534
35.8M
    PyObject *v;
1535
35.8M
    int status;
1536
1537
35.8M
    if (Py_SIZE(self) == 0) {
1538
        /* Special-case most common failure cause */
1539
0
        PyErr_SetString(PyExc_IndexError, "pop from empty list");
1540
0
        return NULL;
1541
0
    }
1542
35.8M
    if (index < 0)
1543
17.5M
        index += Py_SIZE(self);
1544
35.8M
    if (!valid_index(index, Py_SIZE(self))) {
1545
0
        PyErr_SetString(PyExc_IndexError, "pop index out of range");
1546
0
        return NULL;
1547
0
    }
1548
1549
35.8M
    PyObject **items = self->ob_item;
1550
35.8M
    v = items[index];
1551
35.8M
    const Py_ssize_t size_after_pop = Py_SIZE(self) - 1;
1552
35.8M
    if (size_after_pop == 0) {
1553
14.7M
        Py_INCREF(v);
1554
14.7M
        list_clear(self);
1555
14.7M
        status = 0;
1556
14.7M
    }
1557
21.1M
    else {
1558
21.1M
        if ((size_after_pop - index) > 0) {
1559
11.3M
            memmove(&items[index], &items[index+1], (size_after_pop - index) * sizeof(PyObject *));
1560
11.3M
        }
1561
21.1M
        status = list_resize(self, size_after_pop);
1562
21.1M
    }
1563
35.8M
    if (status >= 0) {
1564
35.8M
        return v; // and v now owns the reference the list had
1565
35.8M
    }
1566
0
    else {
1567
        // list resize failed, need to restore
1568
0
        memmove(&items[index+1], &items[index], (size_after_pop - index)* sizeof(PyObject *));
1569
0
        items[index] = v;
1570
0
        return NULL;
1571
0
    }
1572
35.8M
}
1573
1574
/* Reverse a slice of a list in place, from lo up to (exclusive) hi. */
1575
static void
1576
reverse_slice(PyObject **lo, PyObject **hi)
1577
137k
{
1578
137k
    assert(lo && hi);
1579
1580
137k
    --hi;
1581
465k
    while (lo < hi) {
1582
328k
        PyObject *t = *lo;
1583
328k
        *lo = *hi;
1584
328k
        *hi = t;
1585
328k
        ++lo;
1586
328k
        --hi;
1587
328k
    }
1588
137k
}
1589
1590
/* Lots of code for an adaptive, stable, natural mergesort.  There are many
1591
 * pieces to this algorithm; read listsort.txt for overviews and details.
1592
 */
1593
1594
/* A sortslice contains a pointer to an array of keys and a pointer to
1595
 * an array of corresponding values.  In other words, keys[i]
1596
 * corresponds with values[i].  If values == NULL, then the keys are
1597
 * also the values.
1598
 *
1599
 * Several convenience routines are provided here, so that keys and
1600
 * values are always moved in sync.
1601
 */
1602
1603
typedef struct {
1604
    PyObject **keys;
1605
    PyObject **values;
1606
} sortslice;
1607
1608
Py_LOCAL_INLINE(void)
1609
sortslice_copy(sortslice *s1, Py_ssize_t i, sortslice *s2, Py_ssize_t j)
1610
34.2k
{
1611
34.2k
    s1->keys[i] = s2->keys[j];
1612
34.2k
    if (s1->values != NULL)
1613
27.8k
        s1->values[i] = s2->values[j];
1614
34.2k
}
1615
1616
Py_LOCAL_INLINE(void)
1617
sortslice_copy_incr(sortslice *dst, sortslice *src)
1618
994k
{
1619
994k
    *dst->keys++ = *src->keys++;
1620
994k
    if (dst->values != NULL)
1621
299k
        *dst->values++ = *src->values++;
1622
994k
}
1623
1624
Py_LOCAL_INLINE(void)
1625
sortslice_copy_decr(sortslice *dst, sortslice *src)
1626
365k
{
1627
365k
    *dst->keys-- = *src->keys--;
1628
365k
    if (dst->values != NULL)
1629
296k
        *dst->values-- = *src->values--;
1630
365k
}
1631
1632
1633
Py_LOCAL_INLINE(void)
1634
sortslice_memcpy(sortslice *s1, Py_ssize_t i, sortslice *s2, Py_ssize_t j,
1635
                 Py_ssize_t n)
1636
203k
{
1637
203k
    memcpy(&s1->keys[i], &s2->keys[j], sizeof(PyObject *) * n);
1638
203k
    if (s1->values != NULL)
1639
154k
        memcpy(&s1->values[i], &s2->values[j], sizeof(PyObject *) * n);
1640
203k
}
1641
1642
Py_LOCAL_INLINE(void)
1643
sortslice_memmove(sortslice *s1, Py_ssize_t i, sortslice *s2, Py_ssize_t j,
1644
                  Py_ssize_t n)
1645
146k
{
1646
146k
    memmove(&s1->keys[i], &s2->keys[j], sizeof(PyObject *) * n);
1647
146k
    if (s1->values != NULL)
1648
104k
        memmove(&s1->values[i], &s2->values[j], sizeof(PyObject *) * n);
1649
146k
}
1650
1651
Py_LOCAL_INLINE(void)
1652
sortslice_advance(sortslice *slice, Py_ssize_t n)
1653
854k
{
1654
854k
    slice->keys += n;
1655
854k
    if (slice->values != NULL)
1656
593k
        slice->values += n;
1657
854k
}
1658
1659
/* Comparison function: ms->key_compare, which is set at run-time in
1660
 * listsort_impl to optimize for various special cases.
1661
 * Returns -1 on error, 1 if x < y, 0 if x >= y.
1662
 */
1663
1664
17.7M
#define ISLT(X, Y) (*(ms->key_compare))(X, Y, ms)
1665
1666
/* Compare X to Y via "<".  Goto "fail" if the comparison raises an
1667
   error.  Else "k" is set to true iff X<Y, and an "if (k)" block is
1668
   started.  It makes more sense in context <wink>.  X and Y are PyObject*s.
1669
*/
1670
16.7M
#define IFLT(X, Y) if ((k = ISLT(X, Y)) < 0) goto fail;  \
1671
16.7M
           if (k)
1672
1673
/* The maximum number of entries in a MergeState's pending-runs stack.
1674
 * For a list with n elements, this needs at most floor(log2(n)) + 1 entries
1675
 * even if we didn't force runs to a minimal length.  So the number of bits
1676
 * in a Py_ssize_t is plenty large enough for all cases.
1677
 */
1678
#define MAX_MERGE_PENDING (SIZEOF_SIZE_T * 8)
1679
1680
/* When we get into galloping mode, we stay there until both runs win less
1681
 * often than MIN_GALLOP consecutive times.  See listsort.txt for more info.
1682
 */
1683
1.12M
#define MIN_GALLOP 7
1684
1685
/* Avoid malloc for small temp arrays. */
1686
2.11M
#define MERGESTATE_TEMP_SIZE 256
1687
1688
/* The largest value of minrun. This must be a power of 2, and >= 1 */
1689
881k
#define MAX_MINRUN 64
1690
#if ((MAX_MINRUN) < 1) || ((MAX_MINRUN) & ((MAX_MINRUN) - 1))
1691
#error "MAX_MINRUN must be a power of 2, and >= 1"
1692
#endif
1693
1694
/* One MergeState exists on the stack per invocation of mergesort.  It's just
1695
 * a convenient way to pass state around among the helper functions.
1696
 */
1697
struct s_slice {
1698
    sortslice base;
1699
    Py_ssize_t len;   /* length of run */
1700
    int power; /* node "level" for powersort merge strategy */
1701
};
1702
1703
typedef struct s_MergeState MergeState;
1704
struct s_MergeState {
1705
    /* This controls when we get *into* galloping mode.  It's initialized
1706
     * to MIN_GALLOP.  merge_lo and merge_hi tend to nudge it higher for
1707
     * random data, and lower for highly structured data.
1708
     */
1709
    Py_ssize_t min_gallop;
1710
1711
    Py_ssize_t listlen;     /* len(input_list) - read only */
1712
    PyObject **basekeys;    /* base address of keys array - read only */
1713
1714
    /* 'a' is temp storage to help with merges.  It contains room for
1715
     * alloced entries.
1716
     */
1717
    sortslice a;        /* may point to temparray below */
1718
    Py_ssize_t alloced;
1719
1720
    /* A stack of n pending runs yet to be merged.  Run #i starts at
1721
     * address base[i] and extends for len[i] elements.  It's always
1722
     * true (so long as the indices are in bounds) that
1723
     *
1724
     *     pending[i].base + pending[i].len == pending[i+1].base
1725
     *
1726
     * so we could cut the storage for this, but it's a minor amount,
1727
     * and keeping all the info explicit simplifies the code.
1728
     */
1729
    int n;
1730
    struct s_slice pending[MAX_MERGE_PENDING];
1731
1732
    /* 'a' points to this when possible, rather than muck with malloc. */
1733
    PyObject *temparray[MERGESTATE_TEMP_SIZE];
1734
1735
    /* This is the function we will use to compare two keys,
1736
     * even when none of our special cases apply and we have to use
1737
     * safe_object_compare. */
1738
    int (*key_compare)(PyObject *, PyObject *, MergeState *);
1739
1740
    /* This function is used by unsafe_object_compare to optimize comparisons
1741
     * when we know our list is type-homogeneous but we can't assume anything else.
1742
     * In the pre-sort check it is set equal to Py_TYPE(key)->tp_richcompare */
1743
    PyObject *(*key_richcompare)(PyObject *, PyObject *, int);
1744
1745
    /* This function is used by unsafe_tuple_compare to compare the first elements
1746
     * of tuples. It may be set to safe_object_compare, but the idea is that hopefully
1747
     * we can assume more, and use one of the special-case compares. */
1748
    int (*tuple_elem_compare)(PyObject *, PyObject *, MergeState *);
1749
1750
    /* Varisbles used for minrun computation. The "ideal" minrun length is
1751
     * the infinite precision listlen / 2**e. See listsort.txt.
1752
     */
1753
     Py_ssize_t mr_current, mr_e, mr_mask;
1754
};
1755
1756
/* binarysort is the best method for sorting small arrays: it does few
1757
   compares, but can do data movement quadratic in the number of elements.
1758
   ss->keys is viewed as an array of n kays, a[:n]. a[:ok] is already sorted.
1759
   Pass ok = 0 (or 1) if you don't know.
1760
   It's sorted in-place, by a stable binary insertion sort. If ss->values
1761
   isn't NULL, it's permuted in lockstap with ss->keys.
1762
   On entry, must have n >= 1, and 0 <= ok <= n <= MAX_MINRUN.
1763
   Return -1 if comparison raises an exception, else 0.
1764
   Even in case of error, the output slice will be some permutation of
1765
   the input (nothing is lost or duplicated).
1766
*/
1767
static int
1768
binarysort(MergeState *ms, const sortslice *ss, Py_ssize_t n, Py_ssize_t ok)
1769
154k
{
1770
154k
    Py_ssize_t k; /* for IFLT macro expansion */
1771
154k
    PyObject ** const a = ss->keys;
1772
154k
    PyObject ** const v = ss->values;
1773
154k
    const bool has_values = v != NULL;
1774
154k
    PyObject *pivot;
1775
154k
    Py_ssize_t M;
1776
1777
154k
    assert(0 <= ok && ok <= n && 1 <= n && n <= MAX_MINRUN);
1778
    /* assert a[:ok] is sorted */
1779
154k
    if (! ok)
1780
0
        ++ok;
1781
    /* Regular insertion sort has average- and worst-case O(n**2) cost
1782
       for both # of comparisons and number of bytes moved. But its branches
1783
       are highly predictable, and it loves sorted input (n-1 compares and no
1784
       data movement). This is significant in cases like sortperf.py's %sort,
1785
       where an out-of-order element near the start of a run is moved into
1786
       place slowly but then the remaining elements up to length minrun are
1787
       generally at worst one slot away from their correct position (so only
1788
       need 1 or 2 commpares to resolve). If comparisons are very fast (such
1789
       as for a list of Python floats), the simple inner loop leaves it
1790
       very competitive with binary insertion, despite that it does
1791
       significantly more compares overall on random data.
1792
1793
       Binary insertion sort has worst, average, and best case O(n log n)
1794
       cost for # of comparisons, but worst and average case O(n**2) cost
1795
       for data movement. The more expensive comparisons, the more important
1796
       the comparison advantage. But its branches are less predictable the
1797
       more "randomish" the data, and that's so significant its worst case
1798
       in real life is random input rather than reverse-ordered (which does
1799
       about twice the data movement than random input does).
1800
1801
       Note that the number of bytes moved doesn't seem to matter. MAX_MINRUN
1802
       of 64 is so small that the key and value pointers all fit in a corner
1803
       of L1 cache, and moving things around in that is very fast. */
1804
#if 0 // ordinary insertion sort.
1805
    PyObject * vpivot = NULL;
1806
    for (; ok < n; ++ok) {
1807
        pivot = a[ok];
1808
        if (has_values)
1809
            vpivot = v[ok];
1810
        for (M = ok - 1; M >= 0; --M) {
1811
            k = ISLT(pivot, a[M]);
1812
            if (k < 0) {
1813
                a[M + 1] = pivot;
1814
                if (has_values)
1815
                    v[M + 1] = vpivot;
1816
                goto fail;
1817
            }
1818
            else if (k) {
1819
                a[M + 1] = a[M];
1820
                if (has_values)
1821
                    v[M + 1] = v[M];
1822
            }
1823
            else
1824
                break;
1825
        }
1826
        a[M + 1] = pivot;
1827
        if (has_values)
1828
            v[M + 1] = vpivot;
1829
    }
1830
#else // binary insertion sort
1831
154k
    Py_ssize_t L, R;
1832
2.78M
    for (; ok < n; ++ok) {
1833
        /* set L to where a[ok] belongs */
1834
2.62M
        L = 0;
1835
2.62M
        R = ok;
1836
2.62M
        pivot = a[ok];
1837
        /* Slice invariants. vacuously true at the start:
1838
         * all a[0:L]  <= pivot
1839
         * all a[L:R]     unknown
1840
         * all a[R:ok]  > pivot
1841
         */
1842
2.62M
        assert(L < R);
1843
11.1M
        do {
1844
            /* don't do silly ;-) things to prevent overflow when finding
1845
               the midpoint; L and R are very far from filling a Py_ssize_t */
1846
11.1M
            M = (L + R) >> 1;
1847
11.1M
#if 1 // straightforward, but highly unpredictable branch on random data
1848
11.1M
            IFLT(pivot, a[M])
1849
5.10M
                R = M;
1850
6.08M
            else
1851
6.08M
                L = M + 1;
1852
#else
1853
            /* Try to get compiler to generate conditional move instructions
1854
               instead. Works fine, but leaving it disabled for now because
1855
               it's not yielding consistently faster sorts. Needs more
1856
               investigation. More computation in the inner loop adds its own
1857
               costs, which can be significant when compares are fast. */
1858
            k = ISLT(pivot, a[M]);
1859
            if (k < 0)
1860
                goto fail;
1861
            Py_ssize_t Mp1 = M + 1;
1862
            R = k ? M : R;
1863
            L = k ? L : Mp1;
1864
#endif
1865
11.1M
        } while (L < R);
1866
2.62M
        assert(L == R);
1867
        /* a[:L] holds all elements from a[:ok] <= pivot now, so pivot belongs
1868
           at index L. Slide a[L:ok] to the right a slot to make room for it.
1869
           Caution: using memmove is much slower under MSVC 5; we're not
1870
           usually moving many slots. Years later: under Visual Studio 2022,
1871
           memmove seems just slightly slower than doing it "by hand". */
1872
23.9M
        for (M = ok; M > L; --M)
1873
21.3M
            a[M] = a[M - 1];
1874
2.62M
        a[L] = pivot;
1875
2.62M
        if (has_values) {
1876
1.46M
            pivot = v[ok];
1877
8.00M
            for (M = ok; M > L; --M)
1878
6.53M
                v[M] = v[M - 1];
1879
1.46M
            v[L] = pivot;
1880
1.46M
        }
1881
2.62M
    }
1882
154k
#endif // pick binary or regular insertion sort
1883
154k
    return 0;
1884
1885
0
 fail:
1886
0
    return -1;
1887
154k
}
1888
1889
static void
1890
sortslice_reverse(sortslice *s, Py_ssize_t n)
1891
85.1k
{
1892
85.1k
    reverse_slice(s->keys, &s->keys[n]);
1893
85.1k
    if (s->values != NULL)
1894
51.7k
        reverse_slice(s->values, &s->values[n]);
1895
85.1k
}
1896
1897
/*
1898
Return the length of the run beginning at slo->keys, spanning no more than
1899
nremaining elements. The run beginning there may be ascending or descending,
1900
but the function permutes it in place, if needed, so that it's always ascending
1901
upon return.
1902
1903
Returns -1 in case of error.
1904
*/
1905
static Py_ssize_t
1906
count_run(MergeState *ms, sortslice *slo, Py_ssize_t nremaining)
1907
294k
{
1908
294k
    Py_ssize_t k; /* used by IFLT macro expansion */
1909
294k
    Py_ssize_t n;
1910
294k
    PyObject ** const lo = slo->keys;
1911
1912
    /* In general, as things go on we've established that the slice starts
1913
       with a monotone run of n elements, starting at lo. */
1914
1915
    /* We're n elements into the slice, and the most recent neq+1 elements are
1916
     * all equal. This reverses them in-place, and resets neq for reuse.
1917
     */
1918
294k
#define REVERSE_LAST_NEQ                        \
1919
294k
    if (neq) {                                  \
1920
9.84k
        sortslice slice = *slo;                 \
1921
9.84k
        ++neq;                                  \
1922
9.84k
        sortslice_advance(&slice, n - neq);     \
1923
9.84k
        sortslice_reverse(&slice, neq);         \
1924
9.84k
        neq = 0;                                \
1925
9.84k
    }
1926
1927
    /* Sticking to only __lt__ compares is confusing and error-prone. But in
1928
     * this routine, almost all uses of IFLT can be captured by tiny macros
1929
     * giving mnemonic names to the intent. Note that inline functions don't
1930
     * work for this (IFLT expands to code including `goto fail`).
1931
     */
1932
294k
#define IF_NEXT_LARGER  IFLT(lo[n-1], lo[n])
1933
3.11M
#define IF_NEXT_SMALLER IFLT(lo[n], lo[n-1])
1934
1935
294k
    assert(nremaining);
1936
    /* try ascending run first */
1937
2.77M
    for (n = 1; n < nremaining; ++n) {
1938
2.67M
        IF_NEXT_SMALLER
1939
199k
            break;
1940
2.67M
    }
1941
294k
    if (n == nremaining)
1942
94.2k
        return n;
1943
    /* lo[n] is strictly less */
1944
    /* If n is 1 now, then the first compare established it's a descending
1945
     * run, so fall through to the descending case. But if n > 1, there are
1946
     * n elements in an ascending run terminated by the strictly less lo[n].
1947
     * If the first key < lo[n-1], *somewhere* along the way the sequence
1948
     * increased, so we're done (there is no descending run).
1949
     * Else first key >= lo[n-1], which implies that the entire ascending run
1950
     * consists of equal elements. In that case, this is a descending run,
1951
     * and we reverse the all-equal prefix in-place.
1952
     */
1953
199k
    if (n > 1) {
1954
134k
        IFLT(lo[0], lo[n-1])
1955
129k
            return n;
1956
4.84k
        sortslice_reverse(slo, n);
1957
4.84k
    }
1958
70.5k
    ++n; /* in all cases it's been established that lo[n] has been resolved */
1959
1960
    /* Finish descending run. All-squal subruns are reversed in-place on the
1961
     * fly. Their original order will be restored at the end by the whole-slice
1962
     * reversal.
1963
     */
1964
70.5k
    Py_ssize_t neq = 0;
1965
123k
    for ( ; n < nremaining; ++n) {
1966
94.6k
        IF_NEXT_SMALLER {
1967
            /* This ends the most recent run of equal elements, but still in
1968
             * the "descending" direction.
1969
             */
1970
19.2k
            REVERSE_LAST_NEQ
1971
19.2k
        }
1972
75.3k
        else {
1973
75.3k
            IF_NEXT_LARGER /* descending run is over */
1974
41.4k
                break;
1975
33.9k
            else /* not x < y and not y < x implies x == y */
1976
33.9k
                ++neq;
1977
75.3k
        }
1978
94.6k
    }
1979
70.5k
    REVERSE_LAST_NEQ
1980
70.5k
    sortslice_reverse(slo, n); /* transform to ascending run */
1981
1982
    /* And after reversing, it's possible this can be extended by a
1983
     * naturally increasing suffix; e.g., [3, 2, 3, 4, 1] makes an
1984
     * ascending run from the first 4 elements.
1985
     */
1986
373k
    for ( ; n < nremaining; ++n) {
1987
342k
        IF_NEXT_SMALLER
1988
39.8k
            break;
1989
342k
    }
1990
1991
70.5k
    return n;
1992
0
fail:
1993
0
    return -1;
1994
1995
70.5k
#undef REVERSE_LAST_NEQ
1996
70.5k
#undef IF_NEXT_SMALLER
1997
70.5k
#undef IF_NEXT_LARGER
1998
70.5k
}
1999
2000
/*
2001
Locate the proper position of key in a sorted vector; if the vector contains
2002
an element equal to key, return the position immediately to the left of
2003
the leftmost equal element.  [gallop_right() does the same except returns
2004
the position to the right of the rightmost equal element (if any).]
2005
2006
"a" is a sorted vector with n elements, starting at a[0].  n must be > 0.
2007
2008
"hint" is an index at which to begin the search, 0 <= hint < n.  The closer
2009
hint is to the final result, the faster this runs.
2010
2011
The return value is the int k in 0..n such that
2012
2013
    a[k-1] < key <= a[k]
2014
2015
pretending that *(a-1) is minus infinity and a[n] is plus infinity.  IOW,
2016
key belongs at index k; or, IOW, the first k elements of a should precede
2017
key, and the last n-k should follow key.
2018
2019
Returns -1 on error.  See listsort.txt for info on the method.
2020
*/
2021
static Py_ssize_t
2022
gallop_left(MergeState *ms, PyObject *key, PyObject **a, Py_ssize_t n, Py_ssize_t hint)
2023
205k
{
2024
205k
    Py_ssize_t ofs;
2025
205k
    Py_ssize_t lastofs;
2026
205k
    Py_ssize_t k;
2027
2028
205k
    assert(key && a && n > 0 && hint >= 0 && hint < n);
2029
2030
205k
    a += hint;
2031
205k
    lastofs = 0;
2032
205k
    ofs = 1;
2033
205k
    IFLT(*a, key) {
2034
        /* a[hint] < key -- gallop right, until
2035
         * a[hint + lastofs] < key <= a[hint + ofs]
2036
         */
2037
115k
        const Py_ssize_t maxofs = n - hint;             /* &a[n-1] is highest */
2038
358k
        while (ofs < maxofs) {
2039
280k
            IFLT(a[ofs], key) {
2040
242k
                lastofs = ofs;
2041
242k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2042
242k
                ofs = (ofs << 1) + 1;
2043
242k
            }
2044
37.6k
            else                /* key <= a[hint + ofs] */
2045
37.6k
                break;
2046
280k
        }
2047
115k
        if (ofs > maxofs)
2048
31.5k
            ofs = maxofs;
2049
        /* Translate back to offsets relative to &a[0]. */
2050
115k
        lastofs += hint;
2051
115k
        ofs += hint;
2052
115k
    }
2053
89.8k
    else {
2054
        /* key <= a[hint] -- gallop left, until
2055
         * a[hint - ofs] < key <= a[hint - lastofs]
2056
         */
2057
89.8k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2058
289k
        while (ofs < maxofs) {
2059
260k
            IFLT(*(a-ofs), key)
2060
60.5k
                break;
2061
            /* key <= a[hint - ofs] */
2062
200k
            lastofs = ofs;
2063
200k
            assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2064
200k
            ofs = (ofs << 1) + 1;
2065
200k
        }
2066
89.8k
        if (ofs > maxofs)
2067
17.7k
            ofs = maxofs;
2068
        /* Translate back to positive offsets relative to &a[0]. */
2069
89.8k
        k = lastofs;
2070
89.8k
        lastofs = hint - ofs;
2071
89.8k
        ofs = hint - k;
2072
89.8k
    }
2073
205k
    a -= hint;
2074
2075
205k
    assert(-1 <= lastofs && lastofs < ofs && ofs <= n);
2076
    /* Now a[lastofs] < key <= a[ofs], so key belongs somewhere to the
2077
     * right of lastofs but no farther right than ofs.  Do a binary
2078
     * search, with invariant a[lastofs-1] < key <= a[ofs].
2079
     */
2080
205k
    ++lastofs;
2081
587k
    while (lastofs < ofs) {
2082
381k
        Py_ssize_t m = lastofs + ((ofs - lastofs) >> 1);
2083
2084
381k
        IFLT(a[m], key)
2085
198k
            lastofs = m+1;              /* a[m] < key */
2086
183k
        else
2087
183k
            ofs = m;                    /* key <= a[m] */
2088
381k
    }
2089
205k
    assert(lastofs == ofs);             /* so a[ofs-1] < key <= a[ofs] */
2090
205k
    return ofs;
2091
2092
0
fail:
2093
0
    return -1;
2094
205k
}
2095
2096
/*
2097
Exactly like gallop_left(), except that if key already exists in a[0:n],
2098
finds the position immediately to the right of the rightmost equal value.
2099
2100
The return value is the int k in 0..n such that
2101
2102
    a[k-1] <= key < a[k]
2103
2104
or -1 if error.
2105
2106
The code duplication is massive, but this is enough different given that
2107
we're sticking to "<" comparisons that it's much harder to follow if
2108
written as one routine with yet another "left or right?" flag.
2109
*/
2110
static Py_ssize_t
2111
gallop_right(MergeState *ms, PyObject *key, PyObject **a, Py_ssize_t n, Py_ssize_t hint)
2112
225k
{
2113
225k
    Py_ssize_t ofs;
2114
225k
    Py_ssize_t lastofs;
2115
225k
    Py_ssize_t k;
2116
2117
225k
    assert(key && a && n > 0 && hint >= 0 && hint < n);
2118
2119
225k
    a += hint;
2120
225k
    lastofs = 0;
2121
225k
    ofs = 1;
2122
225k
    IFLT(key, *a) {
2123
        /* key < a[hint] -- gallop left, until
2124
         * a[hint - ofs] <= key < a[hint - lastofs]
2125
         */
2126
97.6k
        const Py_ssize_t maxofs = hint + 1;             /* &a[0] is lowest */
2127
227k
        while (ofs < maxofs) {
2128
152k
            IFLT(key, *(a-ofs)) {
2129
129k
                lastofs = ofs;
2130
129k
                assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2131
129k
                ofs = (ofs << 1) + 1;
2132
129k
            }
2133
22.8k
            else                /* a[hint - ofs] <= key */
2134
22.8k
                break;
2135
152k
        }
2136
97.6k
        if (ofs > maxofs)
2137
12.9k
            ofs = maxofs;
2138
        /* Translate back to positive offsets relative to &a[0]. */
2139
97.6k
        k = lastofs;
2140
97.6k
        lastofs = hint - ofs;
2141
97.6k
        ofs = hint - k;
2142
97.6k
    }
2143
128k
    else {
2144
        /* a[hint] <= key -- gallop right, until
2145
         * a[hint + lastofs] <= key < a[hint + ofs]
2146
        */
2147
128k
        const Py_ssize_t maxofs = n - hint;             /* &a[n-1] is highest */
2148
408k
        while (ofs < maxofs) {
2149
357k
            IFLT(key, a[ofs])
2150
77.6k
                break;
2151
            /* a[hint + ofs] <= key */
2152
280k
            lastofs = ofs;
2153
280k
            assert(ofs <= (PY_SSIZE_T_MAX - 1) / 2);
2154
280k
            ofs = (ofs << 1) + 1;
2155
280k
        }
2156
128k
        if (ofs > maxofs)
2157
26.6k
            ofs = maxofs;
2158
        /* Translate back to offsets relative to &a[0]. */
2159
128k
        lastofs += hint;
2160
128k
        ofs += hint;
2161
128k
    }
2162
225k
    a -= hint;
2163
2164
225k
    assert(-1 <= lastofs && lastofs < ofs && ofs <= n);
2165
    /* Now a[lastofs] <= key < a[ofs], so key belongs somewhere to the
2166
     * right of lastofs but no farther right than ofs.  Do a binary
2167
     * search, with invariant a[lastofs-1] <= key < a[ofs].
2168
     */
2169
225k
    ++lastofs;
2170
583k
    while (lastofs < ofs) {
2171
357k
        Py_ssize_t m = lastofs + ((ofs - lastofs) >> 1);
2172
2173
357k
        IFLT(key, a[m])
2174
188k
            ofs = m;                    /* key < a[m] */
2175
169k
        else
2176
169k
            lastofs = m+1;              /* a[m] <= key */
2177
357k
    }
2178
225k
    assert(lastofs == ofs);             /* so a[ofs-1] <= key < a[ofs] */
2179
225k
    return ofs;
2180
2181
0
fail:
2182
0
    return -1;
2183
225k
}
2184
2185
/* Conceptually a MergeState's constructor. */
2186
static void
2187
merge_init(MergeState *ms, Py_ssize_t list_size, int has_keyfunc,
2188
           sortslice *lo)
2189
849k
{
2190
849k
    assert(ms != NULL);
2191
849k
    if (has_keyfunc) {
2192
        /* The temporary space for merging will need at most half the list
2193
         * size rounded up.  Use the minimum possible space so we can use the
2194
         * rest of temparray for other things.  In particular, if there is
2195
         * enough extra space, listsort() will use it to store the keys.
2196
         */
2197
631k
        ms->alloced = (list_size + 1) / 2;
2198
2199
        /* ms->alloced describes how many keys will be stored at
2200
           ms->temparray, but we also need to store the values.  Hence,
2201
           ms->alloced is capped at half of MERGESTATE_TEMP_SIZE. */
2202
631k
        if (MERGESTATE_TEMP_SIZE / 2 < ms->alloced)
2203
2.02k
            ms->alloced = MERGESTATE_TEMP_SIZE / 2;
2204
631k
        ms->a.values = &ms->temparray[ms->alloced];
2205
631k
    }
2206
217k
    else {
2207
217k
        ms->alloced = MERGESTATE_TEMP_SIZE;
2208
217k
        ms->a.values = NULL;
2209
217k
    }
2210
849k
    ms->a.keys = ms->temparray;
2211
849k
    ms->n = 0;
2212
849k
    ms->min_gallop = MIN_GALLOP;
2213
849k
    ms->listlen = list_size;
2214
849k
    ms->basekeys = lo->keys;
2215
2216
    /* State for generating minrun values. See listsort.txt. */
2217
849k
    ms->mr_e = 0;
2218
881k
    while (list_size >> ms->mr_e >= MAX_MINRUN) {
2219
31.8k
        ++ms->mr_e;
2220
31.8k
    }
2221
849k
    ms->mr_mask = (1 << ms->mr_e) - 1;
2222
849k
    ms->mr_current = 0;
2223
849k
}
2224
2225
/* Free all the temp memory owned by the MergeState.  This must be called
2226
 * when you're done with a MergeState, and may be called before then if
2227
 * you want to free the temp memory early.
2228
 */
2229
static void
2230
merge_freemem(MergeState *ms)
2231
854k
{
2232
854k
    assert(ms != NULL);
2233
854k
    if (ms->a.keys != ms->temparray) {
2234
4.52k
        PyMem_Free(ms->a.keys);
2235
4.52k
        ms->a.keys = NULL;
2236
4.52k
    }
2237
854k
}
2238
2239
/* Ensure enough temp memory for 'need' array slots is available.
2240
 * Returns 0 on success and -1 if the memory can't be gotten.
2241
 */
2242
static int
2243
merge_getmem(MergeState *ms, Py_ssize_t need)
2244
4.52k
{
2245
4.52k
    int multiplier;
2246
2247
4.52k
    assert(ms != NULL);
2248
4.52k
    if (need <= ms->alloced)
2249
0
        return 0;
2250
2251
4.52k
    multiplier = ms->a.values != NULL ? 2 : 1;
2252
2253
    /* Don't realloc!  That can cost cycles to copy the old data, but
2254
     * we don't care what's in the block.
2255
     */
2256
4.52k
    merge_freemem(ms);
2257
4.52k
    if ((size_t)need > PY_SSIZE_T_MAX / sizeof(PyObject *) / multiplier) {
2258
0
        PyErr_NoMemory();
2259
0
        return -1;
2260
0
    }
2261
4.52k
    ms->a.keys = (PyObject **)PyMem_Malloc(multiplier * need
2262
4.52k
                                          * sizeof(PyObject *));
2263
4.52k
    if (ms->a.keys != NULL) {
2264
4.52k
        ms->alloced = need;
2265
4.52k
        if (ms->a.values != NULL)
2266
3.97k
            ms->a.values = &ms->a.keys[need];
2267
4.52k
        return 0;
2268
4.52k
    }
2269
0
    PyErr_NoMemory();
2270
0
    return -1;
2271
4.52k
}
2272
73.0k
#define MERGE_GETMEM(MS, NEED) ((NEED) <= (MS)->alloced ? 0 :   \
2273
73.0k
                                merge_getmem(MS, NEED))
2274
2275
/* Merge the na elements starting at ssa with the nb elements starting at
2276
 * ssb.keys = ssa.keys + na in a stable way, in-place.  na and nb must be > 0.
2277
 * Must also have that ssa.keys[na-1] belongs at the end of the merge, and
2278
 * should have na <= nb.  See listsort.txt for more info.  Return 0 if
2279
 * successful, -1 if error.
2280
 */
2281
static Py_ssize_t
2282
merge_lo(MergeState *ms, sortslice ssa, Py_ssize_t na,
2283
         sortslice ssb, Py_ssize_t nb)
2284
49.2k
{
2285
49.2k
    Py_ssize_t k;
2286
49.2k
    sortslice dest;
2287
49.2k
    int result = -1;            /* guilty until proved innocent */
2288
49.2k
    Py_ssize_t min_gallop;
2289
2290
49.2k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2291
49.2k
    assert(ssa.keys + na == ssb.keys);
2292
49.2k
    if (MERGE_GETMEM(ms, na) < 0)
2293
0
        return -1;
2294
49.2k
    sortslice_memcpy(&ms->a, 0, &ssa, 0, na);
2295
49.2k
    dest = ssa;
2296
49.2k
    ssa = ms->a;
2297
2298
49.2k
    sortslice_copy_incr(&dest, &ssb);
2299
49.2k
    --nb;
2300
49.2k
    if (nb == 0)
2301
2.96k
        goto Succeed;
2302
46.2k
    if (na == 1)
2303
5.65k
        goto CopyB;
2304
2305
40.5k
    min_gallop = ms->min_gallop;
2306
70.1k
    for (;;) {
2307
70.1k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2308
70.1k
        Py_ssize_t bcount = 0;          /* # of times B won in a row */
2309
2310
        /* Do the straightforward thing until (if ever) one run
2311
         * appears to win consistently.
2312
         */
2313
789k
        for (;;) {
2314
789k
            assert(na > 1 && nb > 0);
2315
789k
            k = ISLT(ssb.keys[0], ssa.keys[0]);
2316
789k
            if (k) {
2317
433k
                if (k < 0)
2318
0
                    goto Fail;
2319
433k
                sortslice_copy_incr(&dest, &ssb);
2320
433k
                ++bcount;
2321
433k
                acount = 0;
2322
433k
                --nb;
2323
433k
                if (nb == 0)
2324
4.37k
                    goto Succeed;
2325
428k
                if (bcount >= min_gallop)
2326
33.3k
                    break;
2327
428k
            }
2328
356k
            else {
2329
356k
                sortslice_copy_incr(&dest, &ssa);
2330
356k
                ++acount;
2331
356k
                bcount = 0;
2332
356k
                --na;
2333
356k
                if (na == 1)
2334
7.72k
                    goto CopyB;
2335
348k
                if (acount >= min_gallop)
2336
24.7k
                    break;
2337
348k
            }
2338
789k
        }
2339
2340
        /* One run is winning so consistently that galloping may
2341
         * be a huge win.  So try that, and continue galloping until
2342
         * (if ever) neither run appears to be winning consistently
2343
         * anymore.
2344
         */
2345
58.0k
        ++min_gallop;
2346
93.8k
        do {
2347
93.8k
            assert(na > 1 && nb > 0);
2348
93.8k
            min_gallop -= min_gallop > 1;
2349
93.8k
            ms->min_gallop = min_gallop;
2350
93.8k
            k = gallop_right(ms, ssb.keys[0], ssa.keys, na, 0);
2351
93.8k
            acount = k;
2352
93.8k
            if (k) {
2353
50.5k
                if (k < 0)
2354
0
                    goto Fail;
2355
50.5k
                sortslice_memcpy(&dest, 0, &ssa, 0, k);
2356
50.5k
                sortslice_advance(&dest, k);
2357
50.5k
                sortslice_advance(&ssa, k);
2358
50.5k
                na -= k;
2359
50.5k
                if (na == 1)
2360
6.57k
                    goto CopyB;
2361
                /* na==0 is impossible now if the comparison
2362
                 * function is consistent, but we can't assume
2363
                 * that it is.
2364
                 */
2365
44.0k
                if (na == 0)
2366
0
                    goto Succeed;
2367
44.0k
            }
2368
87.2k
            sortslice_copy_incr(&dest, &ssb);
2369
87.2k
            --nb;
2370
87.2k
            if (nb == 0)
2371
1.76k
                goto Succeed;
2372
2373
85.5k
            k = gallop_left(ms, ssa.keys[0], ssb.keys, nb, 0);
2374
85.5k
            bcount = k;
2375
85.5k
            if (k) {
2376
74.7k
                if (k < 0)
2377
0
                    goto Fail;
2378
74.7k
                sortslice_memmove(&dest, 0, &ssb, 0, k);
2379
74.7k
                sortslice_advance(&dest, k);
2380
74.7k
                sortslice_advance(&ssb, k);
2381
74.7k
                nb -= k;
2382
74.7k
                if (nb == 0)
2383
16.9k
                    goto Succeed;
2384
74.7k
            }
2385
68.5k
            sortslice_copy_incr(&dest, &ssa);
2386
68.5k
            --na;
2387
68.5k
            if (na == 1)
2388
3.21k
                goto CopyB;
2389
68.5k
        } while (acount >= MIN_GALLOP || bcount >= MIN_GALLOP);
2390
29.5k
        ++min_gallop;           /* penalize it for leaving galloping mode */
2391
29.5k
        ms->min_gallop = min_gallop;
2392
29.5k
    }
2393
26.0k
Succeed:
2394
26.0k
    result = 0;
2395
26.0k
Fail:
2396
26.0k
    if (na)
2397
26.0k
        sortslice_memcpy(&dest, 0, &ssa, 0, na);
2398
26.0k
    return result;
2399
23.1k
CopyB:
2400
23.1k
    assert(na == 1 && nb > 0);
2401
    /* The last element of ssa belongs at the end of the merge. */
2402
23.1k
    sortslice_memmove(&dest, 0, &ssb, 0, nb);
2403
23.1k
    sortslice_copy(&dest, nb, &ssa, 0);
2404
23.1k
    return 0;
2405
26.0k
}
2406
2407
/* Merge the na elements starting at pa with the nb elements starting at
2408
 * ssb.keys = ssa.keys + na in a stable way, in-place.  na and nb must be > 0.
2409
 * Must also have that ssa.keys[na-1] belongs at the end of the merge, and
2410
 * should have na >= nb.  See listsort.txt for more info.  Return 0 if
2411
 * successful, -1 if error.
2412
 */
2413
static Py_ssize_t
2414
merge_hi(MergeState *ms, sortslice ssa, Py_ssize_t na,
2415
         sortslice ssb, Py_ssize_t nb)
2416
23.8k
{
2417
23.8k
    Py_ssize_t k;
2418
23.8k
    sortslice dest, basea, baseb;
2419
23.8k
    int result = -1;            /* guilty until proved innocent */
2420
23.8k
    Py_ssize_t min_gallop;
2421
2422
23.8k
    assert(ms && ssa.keys && ssb.keys && na > 0 && nb > 0);
2423
23.8k
    assert(ssa.keys + na == ssb.keys);
2424
23.8k
    if (MERGE_GETMEM(ms, nb) < 0)
2425
0
        return -1;
2426
23.8k
    dest = ssb;
2427
23.8k
    sortslice_advance(&dest, nb-1);
2428
23.8k
    sortslice_memcpy(&ms->a, 0, &ssb, 0, nb);
2429
23.8k
    basea = ssa;
2430
23.8k
    baseb = ms->a;
2431
23.8k
    ssb.keys = ms->a.keys + nb - 1;
2432
23.8k
    if (ssb.values != NULL)
2433
20.2k
        ssb.values = ms->a.values + nb - 1;
2434
23.8k
    sortslice_advance(&ssa, na - 1);
2435
2436
23.8k
    sortslice_copy_decr(&dest, &ssa);
2437
23.8k
    --na;
2438
23.8k
    if (na == 0)
2439
0
        goto Succeed;
2440
23.8k
    if (nb == 1)
2441
659
        goto CopyA;
2442
2443
23.1k
    min_gallop = ms->min_gallop;
2444
34.6k
    for (;;) {
2445
34.6k
        Py_ssize_t acount = 0;          /* # of times A won in a row */
2446
34.6k
        Py_ssize_t bcount = 0;          /* # of times B won in a row */
2447
2448
        /* Do the straightforward thing until (if ever) one run
2449
         * appears to win consistently.
2450
         */
2451
256k
        for (;;) {
2452
256k
            assert(na > 0 && nb > 1);
2453
256k
            k = ISLT(ssb.keys[0], ssa.keys[0]);
2454
256k
            if (k) {
2455
126k
                if (k < 0)
2456
0
                    goto Fail;
2457
126k
                sortslice_copy_decr(&dest, &ssa);
2458
126k
                ++acount;
2459
126k
                bcount = 0;
2460
126k
                --na;
2461
126k
                if (na == 0)
2462
645
                    goto Succeed;
2463
125k
                if (acount >= min_gallop)
2464
16.6k
                    break;
2465
125k
            }
2466
130k
            else {
2467
130k
                sortslice_copy_decr(&dest, &ssb);
2468
130k
                ++bcount;
2469
130k
                acount = 0;
2470
130k
                --nb;
2471
130k
                if (nb == 1)
2472
440
                    goto CopyA;
2473
129k
                if (bcount >= min_gallop)
2474
16.9k
                    break;
2475
129k
            }
2476
256k
        }
2477
2478
        /* One run is winning so consistently that galloping may
2479
         * be a huge win.  So try that, and continue galloping until
2480
         * (if ever) neither run appears to be winning consistently
2481
         * anymore.
2482
         */
2483
33.5k
        ++min_gallop;
2484
58.8k
        do {
2485
58.8k
            assert(na > 0 && nb > 1);
2486
58.8k
            min_gallop -= min_gallop > 1;
2487
58.8k
            ms->min_gallop = min_gallop;
2488
58.8k
            k = gallop_right(ms, ssb.keys[0], basea.keys, na, na-1);
2489
58.8k
            if (k < 0)
2490
0
                goto Fail;
2491
58.8k
            k = na - k;
2492
58.8k
            acount = k;
2493
58.8k
            if (k) {
2494
37.0k
                sortslice_advance(&dest, -k);
2495
37.0k
                sortslice_advance(&ssa, -k);
2496
37.0k
                sortslice_memmove(&dest, 1, &ssa, 1, k);
2497
37.0k
                na -= k;
2498
37.0k
                if (na == 0)
2499
10.9k
                    goto Succeed;
2500
37.0k
            }
2501
47.8k
            sortslice_copy_decr(&dest, &ssb);
2502
47.8k
            --nb;
2503
47.8k
            if (nb == 1)
2504
652
                goto CopyA;
2505
2506
47.1k
            k = gallop_left(ms, ssa.keys[0], baseb.keys, nb, nb-1);
2507
47.1k
            if (k < 0)
2508
0
                goto Fail;
2509
47.1k
            k = nb - k;
2510
47.1k
            bcount = k;
2511
47.1k
            if (k) {
2512
41.2k
                sortslice_advance(&dest, -k);
2513
41.2k
                sortslice_advance(&ssb, -k);
2514
41.2k
                sortslice_memcpy(&dest, 1, &ssb, 1, k);
2515
41.2k
                nb -= k;
2516
41.2k
                if (nb == 1)
2517
9.37k
                    goto CopyA;
2518
                /* nb==0 is impossible now if the comparison
2519
                 * function is consistent, but we can't assume
2520
                 * that it is.
2521
                 */
2522
31.8k
                if (nb == 0)
2523
0
                    goto Succeed;
2524
31.8k
            }
2525
37.8k
            sortslice_copy_decr(&dest, &ssa);
2526
37.8k
            --na;
2527
37.8k
            if (na == 0)
2528
1.09k
                goto Succeed;
2529
37.8k
        } while (acount >= MIN_GALLOP || bcount >= MIN_GALLOP);
2530
11.4k
        ++min_gallop;           /* penalize it for leaving galloping mode */
2531
11.4k
        ms->min_gallop = min_gallop;
2532
11.4k
    }
2533
12.7k
Succeed:
2534
12.7k
    result = 0;
2535
12.7k
Fail:
2536
12.7k
    if (nb)
2537
12.7k
        sortslice_memcpy(&dest, -(nb-1), &baseb, 0, nb);
2538
12.7k
    return result;
2539
11.1k
CopyA:
2540
11.1k
    assert(nb == 1 && na > 0);
2541
    /* The first element of ssb belongs at the front of the merge. */
2542
11.1k
    sortslice_memmove(&dest, 1-na, &ssa, 1-na, na);
2543
11.1k
    sortslice_advance(&dest, -na);
2544
11.1k
    sortslice_advance(&ssa, -na);
2545
11.1k
    sortslice_copy(&dest, 0, &ssb, 0);
2546
11.1k
    return 0;
2547
12.7k
}
2548
2549
/* Merge the two runs at stack indices i and i+1.
2550
 * Returns 0 on success, -1 on error.
2551
 */
2552
static Py_ssize_t
2553
merge_at(MergeState *ms, Py_ssize_t i)
2554
73.0k
{
2555
73.0k
    sortslice ssa, ssb;
2556
73.0k
    Py_ssize_t na, nb;
2557
73.0k
    Py_ssize_t k;
2558
2559
73.0k
    assert(ms != NULL);
2560
73.0k
    assert(ms->n >= 2);
2561
73.0k
    assert(i >= 0);
2562
73.0k
    assert(i == ms->n - 2 || i == ms->n - 3);
2563
2564
73.0k
    ssa = ms->pending[i].base;
2565
73.0k
    na = ms->pending[i].len;
2566
73.0k
    ssb = ms->pending[i+1].base;
2567
73.0k
    nb = ms->pending[i+1].len;
2568
73.0k
    assert(na > 0 && nb > 0);
2569
73.0k
    assert(ssa.keys + na == ssb.keys);
2570
2571
    /* Record the length of the combined runs; if i is the 3rd-last
2572
     * run now, also slide over the last run (which isn't involved
2573
     * in this merge).  The current run i+1 goes away in any case.
2574
     */
2575
73.0k
    ms->pending[i].len = na + nb;
2576
73.0k
    if (i == ms->n - 3)
2577
407
        ms->pending[i+1] = ms->pending[i+2];
2578
73.0k
    --ms->n;
2579
2580
    /* Where does b start in a?  Elements in a before that can be
2581
     * ignored (already in place).
2582
     */
2583
73.0k
    k = gallop_right(ms, *ssb.keys, ssa.keys, na, 0);
2584
73.0k
    if (k < 0)
2585
0
        return -1;
2586
73.0k
    sortslice_advance(&ssa, k);
2587
73.0k
    na -= k;
2588
73.0k
    if (na == 0)
2589
38
        return 0;
2590
2591
    /* Where does a end in b?  Elements in b after that can be
2592
     * ignored (already in place).
2593
     */
2594
73.0k
    nb = gallop_left(ms, ssa.keys[na-1], ssb.keys, nb, nb-1);
2595
73.0k
    if (nb <= 0)
2596
0
        return nb;
2597
2598
    /* Merge what remains of the runs, using a temp array with
2599
     * min(na, nb) elements.
2600
     */
2601
73.0k
    if (na <= nb)
2602
49.2k
        return merge_lo(ms, ssa, na, ssb, nb);
2603
23.8k
    else
2604
23.8k
        return merge_hi(ms, ssa, na, ssb, nb);
2605
73.0k
}
2606
2607
/* Two adjacent runs begin at index s1. The first run has length n1, and
2608
 * the second run (starting at index s1+n1) has length n2. The list has total
2609
 * length n.
2610
 * Compute the "power" of the first run. See listsort.txt for details.
2611
 */
2612
static int
2613
powerloop(Py_ssize_t s1, Py_ssize_t n1, Py_ssize_t n2, Py_ssize_t n)
2614
73.0k
{
2615
73.0k
    int result = 0;
2616
73.0k
    assert(s1 >= 0);
2617
73.0k
    assert(n1 > 0 && n2 > 0);
2618
73.0k
    assert(s1 + n1 + n2 <= n);
2619
    /* midpoints a and b:
2620
     * a = s1 + n1/2
2621
     * b = s1 + n1 + n2/2 = a + (n1 + n2)/2
2622
     *
2623
     * Those may not be integers, though, because of the "/2". So we work with
2624
     * 2*a and 2*b instead, which are necessarily integers. It makes no
2625
     * difference to the outcome, since the bits in the expansion of (2*i)/n
2626
     * are merely shifted one position from those of i/n.
2627
     */
2628
73.0k
    Py_ssize_t a = 2 * s1 + n1;  /* 2*a */
2629
73.0k
    Py_ssize_t b = a + n1 + n2;  /* 2*b */
2630
    /* Emulate a/n and b/n one bit a time, until bits differ. */
2631
271k
    for (;;) {
2632
271k
        ++result;
2633
271k
        if (a >= n) {  /* both quotient bits are 1 */
2634
102k
            assert(b >= a);
2635
102k
            a -= n;
2636
102k
            b -= n;
2637
102k
        }
2638
169k
        else if (b >= n) {  /* a/n bit is 0, b/n bit is 1 */
2639
73.0k
            break;
2640
73.0k
        } /* else both quotient bits are 0 */
2641
271k
        assert(a < b && b < n);
2642
198k
        a <<= 1;
2643
198k
        b <<= 1;
2644
198k
    }
2645
73.0k
    return result;
2646
73.0k
}
2647
2648
/* The next run has been identified, of length n2.
2649
 * If there's already a run on the stack, apply the "powersort" merge strategy:
2650
 * compute the topmost run's "power" (depth in a conceptual binary merge tree)
2651
 * and merge adjacent runs on the stack with greater power. See listsort.txt
2652
 * for more info.
2653
 *
2654
 * It's the caller's responsibility to push the new run on the stack when this
2655
 * returns.
2656
 *
2657
 * Returns 0 on success, -1 on error.
2658
 */
2659
static int
2660
found_new_run(MergeState *ms, Py_ssize_t n2)
2661
294k
{
2662
294k
    assert(ms);
2663
294k
    if (ms->n) {
2664
73.0k
        assert(ms->n > 0);
2665
73.0k
        struct s_slice *p = ms->pending;
2666
73.0k
        Py_ssize_t s1 = p[ms->n - 1].base.keys - ms->basekeys; /* start index */
2667
73.0k
        Py_ssize_t n1 = p[ms->n - 1].len;
2668
73.0k
        int power = powerloop(s1, n1, n2, ms->listlen);
2669
117k
        while (ms->n > 1 && p[ms->n - 2].power > power) {
2670
44.0k
            if (merge_at(ms, ms->n - 2) < 0)
2671
0
                return -1;
2672
44.0k
        }
2673
73.0k
        assert(ms->n < 2 || p[ms->n - 2].power < power);
2674
73.0k
        p[ms->n - 1].power = power;
2675
73.0k
    }
2676
294k
    return 0;
2677
294k
}
2678
2679
/* Regardless of invariants, merge all runs on the stack until only one
2680
 * remains.  This is used at the end of the mergesort.
2681
 *
2682
 * Returns 0 on success, -1 on error.
2683
 */
2684
static int
2685
merge_force_collapse(MergeState *ms)
2686
221k
{
2687
221k
    struct s_slice *p = ms->pending;
2688
2689
221k
    assert(ms);
2690
250k
    while (ms->n > 1) {
2691
29.0k
        Py_ssize_t n = ms->n - 2;
2692
29.0k
        if (n > 0 && p[n-1].len < p[n+1].len)
2693
407
            --n;
2694
29.0k
        if (merge_at(ms, n) < 0)
2695
0
            return -1;
2696
29.0k
    }
2697
221k
    return 0;
2698
221k
}
2699
2700
/* Return the next minrun value to use. See listsort.txt. */
2701
Py_LOCAL_INLINE(Py_ssize_t)
2702
minrun_next(MergeState *ms)
2703
294k
{
2704
294k
    ms->mr_current += ms->listlen;
2705
294k
    assert(ms->mr_current >= 0); /* no overflow */
2706
294k
    Py_ssize_t result = ms->mr_current >> ms->mr_e;
2707
294k
    ms->mr_current &= ms->mr_mask;
2708
294k
    return result;
2709
294k
}
2710
2711
/* Here we define custom comparison functions to optimize for the cases one commonly
2712
 * encounters in practice: homogeneous lists, often of one of the basic types. */
2713
2714
/* This struct holds the comparison function and helper functions
2715
 * selected in the pre-sort check. */
2716
2717
/* These are the special case compare functions.
2718
 * ms->key_compare will always point to one of these: */
2719
2720
/* Heterogeneous compare: default, always safe to fall back on. */
2721
static int
2722
safe_object_compare(PyObject *v, PyObject *w, MergeState *ms)
2723
0
{
2724
    /* No assumptions necessary! */
2725
0
    return PyObject_RichCompareBool(v, w, Py_LT);
2726
0
}
2727
2728
/* Homogeneous compare: safe for any two comparable objects of the same type.
2729
 * (ms->key_richcompare is set to ob_type->tp_richcompare in the
2730
 *  pre-sort check.)
2731
 */
2732
static int
2733
unsafe_object_compare(PyObject *v, PyObject *w, MergeState *ms)
2734
8.59M
{
2735
8.59M
    PyObject *res_obj; int res;
2736
2737
    /* No assumptions, because we check first: */
2738
8.59M
    if (Py_TYPE(v)->tp_richcompare != ms->key_richcompare)
2739
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2740
2741
8.59M
    assert(ms->key_richcompare != NULL);
2742
8.59M
    res_obj = (*(ms->key_richcompare))(v, w, Py_LT);
2743
2744
8.59M
    if (res_obj == Py_NotImplemented) {
2745
0
        Py_DECREF(res_obj);
2746
0
        return PyObject_RichCompareBool(v, w, Py_LT);
2747
0
    }
2748
8.59M
    if (res_obj == NULL)
2749
0
        return -1;
2750
2751
8.59M
    if (PyBool_Check(res_obj)) {
2752
8.59M
        res = (res_obj == Py_True);
2753
8.59M
    }
2754
0
    else {
2755
0
        res = PyObject_IsTrue(res_obj);
2756
0
    }
2757
8.59M
    Py_DECREF(res_obj);
2758
2759
    /* Note that we can't assert
2760
     *     res == PyObject_RichCompareBool(v, w, Py_LT);
2761
     * because of evil compare functions like this:
2762
     *     lambda a, b:  int(random.random() * 3) - 1)
2763
     * (which is actually in test_sort.py) */
2764
8.59M
    return res;
2765
8.59M
}
2766
2767
/* Latin string compare: safe for any two latin (one byte per char) strings. */
2768
static int
2769
unsafe_latin_compare(PyObject *v, PyObject *w, MergeState *ms)
2770
3.19M
{
2771
3.19M
    Py_ssize_t len;
2772
3.19M
    int res;
2773
2774
    /* Modified from Objects/unicodeobject.c:unicode_compare, assuming: */
2775
3.19M
    assert(Py_IS_TYPE(v, &PyUnicode_Type));
2776
3.19M
    assert(Py_IS_TYPE(w, &PyUnicode_Type));
2777
3.19M
    assert(PyUnicode_KIND(v) == PyUnicode_KIND(w));
2778
3.19M
    assert(PyUnicode_KIND(v) == PyUnicode_1BYTE_KIND);
2779
2780
3.19M
    len = Py_MIN(PyUnicode_GET_LENGTH(v), PyUnicode_GET_LENGTH(w));
2781
3.19M
    res = memcmp(PyUnicode_DATA(v), PyUnicode_DATA(w), len);
2782
2783
3.19M
    res = (res != 0 ?
2784
3.13M
           res < 0 :
2785
3.19M
           PyUnicode_GET_LENGTH(v) < PyUnicode_GET_LENGTH(w));
2786
2787
3.19M
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));;
2788
3.19M
    return res;
2789
3.19M
}
2790
2791
/* Bounded int compare: compare any two longs that fit in a single machine word. */
2792
static int
2793
unsafe_long_compare(PyObject *v, PyObject *w, MergeState *ms)
2794
5.99M
{
2795
5.99M
    PyLongObject *vl, *wl;
2796
5.99M
    intptr_t v0, w0;
2797
5.99M
    int res;
2798
2799
    /* Modified from Objects/longobject.c:long_compare, assuming: */
2800
5.99M
    assert(Py_IS_TYPE(v, &PyLong_Type));
2801
5.99M
    assert(Py_IS_TYPE(w, &PyLong_Type));
2802
5.99M
    assert(_PyLong_IsCompact((PyLongObject *)v));
2803
5.99M
    assert(_PyLong_IsCompact((PyLongObject *)w));
2804
2805
5.99M
    vl = (PyLongObject*)v;
2806
5.99M
    wl = (PyLongObject*)w;
2807
2808
5.99M
    v0 = _PyLong_CompactValue(vl);
2809
5.99M
    w0 = _PyLong_CompactValue(wl);
2810
2811
5.99M
    res = v0 < w0;
2812
5.99M
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));
2813
5.99M
    return res;
2814
5.99M
}
2815
2816
/* Float compare: compare any two floats. */
2817
static int
2818
unsafe_float_compare(PyObject *v, PyObject *w, MergeState *ms)
2819
0
{
2820
0
    int res;
2821
2822
    /* Modified from Objects/floatobject.c:float_richcompare, assuming: */
2823
0
    assert(Py_IS_TYPE(v, &PyFloat_Type));
2824
0
    assert(Py_IS_TYPE(w, &PyFloat_Type));
2825
2826
0
    res = PyFloat_AS_DOUBLE(v) < PyFloat_AS_DOUBLE(w);
2827
0
    assert(res == PyObject_RichCompareBool(v, w, Py_LT));
2828
0
    return res;
2829
0
}
2830
2831
/* Tuple compare: compare *any* two tuples, using
2832
 * ms->tuple_elem_compare to compare the first elements, which is set
2833
 * using the same pre-sort check as we use for ms->key_compare,
2834
 * but run on the list [x[0] for x in L]. This allows us to optimize compares
2835
 * on two levels (as long as [x[0] for x in L] is type-homogeneous.) The idea is
2836
 * that most tuple compares don't involve x[1:]. */
2837
static int
2838
unsafe_tuple_compare(PyObject *v, PyObject *w, MergeState *ms)
2839
1.40k
{
2840
1.40k
    PyTupleObject *vt, *wt;
2841
1.40k
    Py_ssize_t i, vlen, wlen;
2842
1.40k
    int k;
2843
2844
    /* Modified from Objects/tupleobject.c:tuplerichcompare, assuming: */
2845
1.40k
    assert(Py_IS_TYPE(v, &PyTuple_Type));
2846
1.40k
    assert(Py_IS_TYPE(w, &PyTuple_Type));
2847
1.40k
    assert(Py_SIZE(v) > 0);
2848
1.40k
    assert(Py_SIZE(w) > 0);
2849
2850
1.40k
    vt = (PyTupleObject *)v;
2851
1.40k
    wt = (PyTupleObject *)w;
2852
2853
1.40k
    vlen = Py_SIZE(vt);
2854
1.40k
    wlen = Py_SIZE(wt);
2855
2856
1.42k
    for (i = 0; i < vlen && i < wlen; i++) {
2857
1.42k
        k = PyObject_RichCompareBool(vt->ob_item[i], wt->ob_item[i], Py_EQ);
2858
1.42k
        if (k < 0)
2859
0
            return -1;
2860
1.42k
        if (!k)
2861
1.40k
            break;
2862
1.42k
    }
2863
2864
1.40k
    if (i >= vlen || i >= wlen)
2865
0
        return vlen < wlen;
2866
2867
1.40k
    if (i == 0)
2868
1.39k
        return ms->tuple_elem_compare(vt->ob_item[i], wt->ob_item[i], ms);
2869
12
    else
2870
12
        return PyObject_RichCompareBool(vt->ob_item[i], wt->ob_item[i], Py_LT);
2871
1.40k
}
2872
2873
/* An adaptive, stable, natural mergesort.  See listsort.txt.
2874
 * Returns Py_None on success, NULL on error.  Even in case of error, the
2875
 * list will be some permutation of its input state (nothing is lost or
2876
 * duplicated).
2877
 */
2878
/*[clinic input]
2879
@permit_long_docstring_body
2880
@critical_section
2881
list.sort
2882
2883
    *
2884
    key as keyfunc: object = None
2885
    reverse: bool = False
2886
2887
Sort the list in ascending order and return None.
2888
2889
The sort is in-place (i.e. the list itself is modified) and stable (i.e. the
2890
order of two equal elements is maintained).
2891
2892
If a key function is given, apply it once to each list item and sort them,
2893
ascending or descending, according to their function values.
2894
2895
The reverse flag can be set to sort in descending order.
2896
[clinic start generated code]*/
2897
2898
static PyObject *
2899
list_sort_impl(PyListObject *self, PyObject *keyfunc, int reverse)
2900
/*[clinic end generated code: output=57b9f9c5e23fbe42 input=e4f6b6069181ad7d]*/
2901
849k
{
2902
849k
    MergeState ms;
2903
849k
    Py_ssize_t nremaining;
2904
849k
    Py_ssize_t minrun;
2905
849k
    sortslice lo;
2906
849k
    Py_ssize_t saved_ob_size, saved_allocated;
2907
849k
    PyObject **saved_ob_item;
2908
849k
    PyObject **final_ob_item;
2909
849k
    PyObject *result = NULL;            /* guilty until proved innocent */
2910
849k
    Py_ssize_t i;
2911
849k
    PyObject **keys;
2912
2913
849k
    assert(self != NULL);
2914
849k
    assert(PyList_Check(self));
2915
849k
    if (keyfunc == Py_None)
2916
192k
        keyfunc = NULL;
2917
2918
    /* The list is temporarily made empty, so that mutations performed
2919
     * by comparison functions can't affect the slice of memory we're
2920
     * sorting (allowing mutations during sorting is a core-dump
2921
     * factory, since ob_item may change).
2922
     */
2923
849k
    saved_ob_size = Py_SIZE(self);
2924
849k
    saved_ob_item = self->ob_item;
2925
849k
    saved_allocated = self->allocated;
2926
849k
    Py_SET_SIZE(self, 0);
2927
849k
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, NULL);
2928
849k
    self->allocated = -1; /* any operation will reset it to >= 0 */
2929
2930
849k
    if (keyfunc == NULL) {
2931
217k
        keys = NULL;
2932
217k
        lo.keys = saved_ob_item;
2933
217k
        lo.values = NULL;
2934
217k
    }
2935
631k
    else {
2936
631k
        if (saved_ob_size < MERGESTATE_TEMP_SIZE/2)
2937
            /* Leverage stack space we allocated but won't otherwise use */
2938
628k
            keys = &ms.temparray[saved_ob_size+1];
2939
3.72k
        else {
2940
3.72k
            keys = PyMem_Malloc(sizeof(PyObject *) * saved_ob_size);
2941
3.72k
            if (keys == NULL) {
2942
0
                PyErr_NoMemory();
2943
0
                goto keyfunc_fail;
2944
0
            }
2945
3.72k
        }
2946
2947
5.13M
        for (i = 0; i < saved_ob_size ; i++) {
2948
4.49M
            keys[i] = PyObject_CallOneArg(keyfunc, saved_ob_item[i]);
2949
4.49M
            if (keys[i] == NULL) {
2950
0
                for (i=i-1 ; i>=0 ; i--)
2951
0
                    Py_DECREF(keys[i]);
2952
0
                if (saved_ob_size >= MERGESTATE_TEMP_SIZE/2)
2953
0
                    PyMem_Free(keys);
2954
0
                goto keyfunc_fail;
2955
0
            }
2956
4.49M
        }
2957
2958
631k
        lo.keys = keys;
2959
631k
        lo.values = saved_ob_item;
2960
631k
    }
2961
2962
2963
    /* The pre-sort check: here's where we decide which compare function to use.
2964
     * How much optimization is safe? We test for homogeneity with respect to
2965
     * several properties that are expensive to check at compare-time, and
2966
     * set ms appropriately. */
2967
849k
    if (saved_ob_size > 1) {
2968
        /* Assume the first element is representative of the whole list. */
2969
221k
        int keys_are_in_tuples = (Py_IS_TYPE(lo.keys[0], &PyTuple_Type) &&
2970
83
                                  Py_SIZE(lo.keys[0]) > 0);
2971
2972
221k
        PyTypeObject* key_type = (keys_are_in_tuples ?
2973
83
                                  Py_TYPE(PyTuple_GET_ITEM(lo.keys[0], 0)) :
2974
221k
                                  Py_TYPE(lo.keys[0]));
2975
2976
221k
        int keys_are_all_same_type = 1;
2977
221k
        int strings_are_latin = 1;
2978
221k
        int ints_are_bounded = 1;
2979
2980
        /* Prove that assumption by checking every key. */
2981
6.05M
        for (i=0; i < saved_ob_size; i++) {
2982
2983
5.82M
            if (keys_are_in_tuples &&
2984
674
                !(Py_IS_TYPE(lo.keys[i], &PyTuple_Type) && Py_SIZE(lo.keys[i]) != 0)) {
2985
0
                keys_are_in_tuples = 0;
2986
0
                keys_are_all_same_type = 0;
2987
0
                break;
2988
0
            }
2989
2990
            /* Note: for lists of tuples, key is the first element of the tuple
2991
             * lo.keys[i], not lo.keys[i] itself! We verify type-homogeneity
2992
             * for lists of tuples in the if-statement directly above. */
2993
5.82M
            PyObject *key = (keys_are_in_tuples ?
2994
674
                             PyTuple_GET_ITEM(lo.keys[i], 0) :
2995
5.82M
                             lo.keys[i]);
2996
2997
5.82M
            if (!Py_IS_TYPE(key, key_type)) {
2998
0
                keys_are_all_same_type = 0;
2999
                /* If keys are in tuple we must loop over the whole list to make
3000
                   sure all items are tuples */
3001
0
                if (!keys_are_in_tuples) {
3002
0
                    break;
3003
0
                }
3004
0
            }
3005
3006
5.82M
            if (keys_are_all_same_type) {
3007
5.82M
                if (key_type == &PyLong_Type &&
3008
3.92M
                    ints_are_bounded &&
3009
2.35M
                    !_PyLong_IsCompact((PyLongObject *)key)) {
3010
3011
7.16k
                    ints_are_bounded = 0;
3012
7.16k
                }
3013
5.82M
                else if (key_type == &PyUnicode_Type &&
3014
713k
                         strings_are_latin &&
3015
658k
                         PyUnicode_KIND(key) != PyUnicode_1BYTE_KIND) {
3016
3017
5.55k
                        strings_are_latin = 0;
3018
5.55k
                    }
3019
5.82M
                }
3020
5.82M
            }
3021
3022
        /* Choose the best compare, given what we now know about the keys. */
3023
221k
        if (keys_are_all_same_type) {
3024
3025
221k
            if (key_type == &PyUnicode_Type && strings_are_latin) {
3026
21.3k
                ms.key_compare = unsafe_latin_compare;
3027
21.3k
            }
3028
199k
            else if (key_type == &PyLong_Type && ints_are_bounded) {
3029
89.8k
                ms.key_compare = unsafe_long_compare;
3030
89.8k
            }
3031
109k
            else if (key_type == &PyFloat_Type) {
3032
0
                ms.key_compare = unsafe_float_compare;
3033
0
            }
3034
109k
            else if ((ms.key_richcompare = key_type->tp_richcompare) != NULL) {
3035
109k
                ms.key_compare = unsafe_object_compare;
3036
109k
            }
3037
0
            else {
3038
0
                ms.key_compare = safe_object_compare;
3039
0
            }
3040
221k
        }
3041
0
        else {
3042
0
            ms.key_compare = safe_object_compare;
3043
0
        }
3044
3045
221k
        if (keys_are_in_tuples) {
3046
            /* Make sure we're not dealing with tuples of tuples
3047
             * (remember: here, key_type refers list [key[0] for key in keys]) */
3048
83
            if (key_type == &PyTuple_Type) {
3049
0
                ms.tuple_elem_compare = safe_object_compare;
3050
0
            }
3051
83
            else {
3052
83
                ms.tuple_elem_compare = ms.key_compare;
3053
83
            }
3054
3055
83
            ms.key_compare = unsafe_tuple_compare;
3056
83
        }
3057
221k
    }
3058
    /* End of pre-sort check: ms is now set properly! */
3059
3060
849k
    merge_init(&ms, saved_ob_size, keys != NULL, &lo);
3061
3062
849k
    nremaining = saved_ob_size;
3063
849k
    if (nremaining < 2)
3064
628k
        goto succeed;
3065
3066
    /* Reverse sort stability achieved by initially reversing the list,
3067
    applying a stable forward sort, then reversing the final result. */
3068
221k
    if (reverse) {
3069
4
        if (keys != NULL)
3070
0
            reverse_slice(&keys[0], &keys[saved_ob_size]);
3071
4
        reverse_slice(&saved_ob_item[0], &saved_ob_item[saved_ob_size]);
3072
4
    }
3073
3074
    /* March over the array once, left to right, finding natural runs,
3075
     * and extending short natural runs to minrun elements.
3076
     */
3077
294k
    do {
3078
294k
        Py_ssize_t n;
3079
3080
        /* Identify next run. */
3081
294k
        n = count_run(&ms, &lo, nremaining);
3082
294k
        if (n < 0)
3083
0
            goto fail;
3084
        /* If short, extend to min(minrun, nremaining). */
3085
294k
        minrun = minrun_next(&ms);
3086
294k
        if (n < minrun) {
3087
154k
            const Py_ssize_t force = nremaining <= minrun ?
3088
100k
                              nremaining : minrun;
3089
154k
            if (binarysort(&ms, &lo, force, n) < 0)
3090
0
                goto fail;
3091
154k
            n = force;
3092
154k
        }
3093
        /* Maybe merge pending runs. */
3094
294k
        assert(ms.n == 0 || ms.pending[ms.n -1].base.keys +
3095
294k
                            ms.pending[ms.n-1].len == lo.keys);
3096
294k
        if (found_new_run(&ms, n) < 0)
3097
0
            goto fail;
3098
        /* Push new run on stack. */
3099
294k
        assert(ms.n < MAX_MERGE_PENDING);
3100
294k
        ms.pending[ms.n].base = lo;
3101
294k
        ms.pending[ms.n].len = n;
3102
294k
        ++ms.n;
3103
        /* Advance to find next run. */
3104
294k
        sortslice_advance(&lo, n);
3105
294k
        nremaining -= n;
3106
294k
    } while (nremaining);
3107
3108
221k
    if (merge_force_collapse(&ms) < 0)
3109
0
        goto fail;
3110
221k
    assert(ms.n == 1);
3111
221k
    assert(keys == NULL
3112
221k
           ? ms.pending[0].base.keys == saved_ob_item
3113
221k
           : ms.pending[0].base.keys == &keys[0]);
3114
221k
    assert(ms.pending[0].len == saved_ob_size);
3115
221k
    lo = ms.pending[0].base;
3116
3117
849k
succeed:
3118
849k
    result = Py_None;
3119
849k
fail:
3120
849k
    if (keys != NULL) {
3121
5.13M
        for (i = 0; i < saved_ob_size; i++)
3122
4.49M
            Py_DECREF(keys[i]);
3123
631k
        if (saved_ob_size >= MERGESTATE_TEMP_SIZE/2)
3124
3.72k
            PyMem_Free(keys);
3125
631k
    }
3126
3127
849k
    if (self->allocated != -1 && result != NULL) {
3128
        /* The user mucked with the list during the sort,
3129
         * and we don't already have another error to report.
3130
         */
3131
0
        PyErr_SetString(PyExc_ValueError, "list modified during sort");
3132
0
        result = NULL;
3133
0
    }
3134
3135
849k
    if (reverse && saved_ob_size > 1)
3136
4
        reverse_slice(saved_ob_item, saved_ob_item + saved_ob_size);
3137
3138
849k
    merge_freemem(&ms);
3139
3140
849k
keyfunc_fail:
3141
849k
    final_ob_item = self->ob_item;
3142
849k
    i = Py_SIZE(self);
3143
849k
    Py_SET_SIZE(self, saved_ob_size);
3144
849k
    FT_ATOMIC_STORE_PTR_RELEASE(self->ob_item, saved_ob_item);
3145
849k
    FT_ATOMIC_STORE_SSIZE_RELAXED(self->allocated, saved_allocated);
3146
849k
    if (final_ob_item != NULL) {
3147
        /* we cannot use list_clear() for this because it does not
3148
           guarantee that the list is really empty when it returns */
3149
0
        while (--i >= 0) {
3150
0
            Py_XDECREF(final_ob_item[i]);
3151
0
        }
3152
#ifdef Py_GIL_DISABLED
3153
        ensure_shared_on_resize(self);
3154
        bool use_qsbr = _PyObject_GC_IS_SHARED(self);
3155
#else
3156
0
        bool use_qsbr = false;
3157
0
#endif
3158
0
        free_list_items(final_ob_item, use_qsbr);
3159
0
    }
3160
849k
    return Py_XNewRef(result);
3161
849k
}
3162
#undef IFLT
3163
#undef ISLT
3164
3165
int
3166
PyList_Sort(PyObject *v)
3167
25.2k
{
3168
25.2k
    if (v == NULL || !PyList_Check(v)) {
3169
0
        PyErr_BadInternalCall();
3170
0
        return -1;
3171
0
    }
3172
25.2k
    Py_BEGIN_CRITICAL_SECTION(v);
3173
25.2k
    v = list_sort_impl((PyListObject *)v, NULL, 0);
3174
25.2k
    Py_END_CRITICAL_SECTION();
3175
25.2k
    if (v == NULL)
3176
0
        return -1;
3177
25.2k
    Py_DECREF(v);
3178
25.2k
    return 0;
3179
25.2k
}
3180
3181
/*[clinic input]
3182
@critical_section
3183
list.reverse
3184
3185
Reverse *IN PLACE*.
3186
[clinic start generated code]*/
3187
3188
static PyObject *
3189
list_reverse_impl(PyListObject *self)
3190
/*[clinic end generated code: output=482544fc451abea9 input=04ac8e0c6a66e4d9]*/
3191
0
{
3192
0
    if (Py_SIZE(self) > 1)
3193
0
        reverse_slice(self->ob_item, self->ob_item + Py_SIZE(self));
3194
0
    Py_RETURN_NONE;
3195
0
}
3196
3197
int
3198
PyList_Reverse(PyObject *v)
3199
50
{
3200
50
    PyListObject *self = (PyListObject *)v;
3201
3202
50
    if (v == NULL || !PyList_Check(v)) {
3203
0
        PyErr_BadInternalCall();
3204
0
        return -1;
3205
0
    }
3206
50
    Py_BEGIN_CRITICAL_SECTION(self);
3207
50
    if (Py_SIZE(self) > 1) {
3208
50
        reverse_slice(self->ob_item, self->ob_item + Py_SIZE(self));
3209
50
    }
3210
50
    Py_END_CRITICAL_SECTION()
3211
50
    return 0;
3212
50
}
3213
3214
PyObject *
3215
PyList_AsTuple(PyObject *v)
3216
303k
{
3217
303k
    if (v == NULL || !PyList_Check(v)) {
3218
0
        PyErr_BadInternalCall();
3219
0
        return NULL;
3220
0
    }
3221
303k
    PyObject *ret;
3222
303k
    PyListObject *self = (PyListObject *)v;
3223
303k
    Py_BEGIN_CRITICAL_SECTION(self);
3224
303k
    ret = PyTuple_FromArray(self->ob_item, Py_SIZE(v));
3225
303k
    Py_END_CRITICAL_SECTION();
3226
303k
    return ret;
3227
303k
}
3228
3229
PyObject *
3230
_PyList_AsTupleAndClear(PyListObject *self)
3231
46
{
3232
46
    assert(self != NULL);
3233
46
    PyObject *ret;
3234
46
    if (self->ob_item == NULL) {
3235
0
        return PyTuple_New(0);
3236
0
    }
3237
46
    Py_BEGIN_CRITICAL_SECTION(self);
3238
46
    PyObject **items = self->ob_item;
3239
46
    Py_ssize_t size = Py_SIZE(self);
3240
46
    self->ob_item = NULL;
3241
46
    Py_SET_SIZE(self, 0);
3242
46
    ret = _PyTuple_FromArraySteal(items, size);
3243
46
    free_list_items(items, false);
3244
46
    Py_END_CRITICAL_SECTION();
3245
46
    return ret;
3246
46
}
3247
3248
PyObject *
3249
_PyList_FromStackRefStealOnSuccess(const _PyStackRef *src, Py_ssize_t n)
3250
191M
{
3251
191M
    if (n == 0) {
3252
170M
        return PyList_New(0);
3253
170M
    }
3254
3255
21.1M
    PyListObject *list = (PyListObject *)PyList_New(n);
3256
21.1M
    if (list == NULL) {
3257
0
        return NULL;
3258
0
    }
3259
3260
21.1M
    PyObject **dst = list->ob_item;
3261
55.5M
    for (Py_ssize_t i = 0; i < n; i++) {
3262
34.4M
        dst[i] = PyStackRef_AsPyObjectSteal(src[i]);
3263
34.4M
    }
3264
3265
21.1M
    return (PyObject *)list;
3266
21.1M
}
3267
3268
/*[clinic input]
3269
list.index
3270
3271
    value: object
3272
    start: slice_index(accept={int}) = 0
3273
    stop: slice_index(accept={int}, c_default="PY_SSIZE_T_MAX") = sys.maxsize
3274
    /
3275
3276
Return first index of value.
3277
3278
Raises ValueError if the value is not present.
3279
[clinic start generated code]*/
3280
3281
static PyObject *
3282
list_index_impl(PyListObject *self, PyObject *value, Py_ssize_t start,
3283
                Py_ssize_t stop)
3284
/*[clinic end generated code: output=ec51b88787e4e481 input=40ec5826303a0eb1]*/
3285
0
{
3286
0
    if (start < 0) {
3287
0
        start += Py_SIZE(self);
3288
0
        if (start < 0)
3289
0
            start = 0;
3290
0
    }
3291
0
    if (stop < 0) {
3292
0
        stop += Py_SIZE(self);
3293
0
        if (stop < 0)
3294
0
            stop = 0;
3295
0
    }
3296
0
    for (Py_ssize_t i = start; i < stop; i++) {
3297
0
        PyObject *obj = list_get_item_ref(self, i);
3298
0
        if (obj == NULL) {
3299
            // out-of-bounds
3300
0
            break;
3301
0
        }
3302
0
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3303
0
        Py_DECREF(obj);
3304
0
        if (cmp > 0)
3305
0
            return PyLong_FromSsize_t(i);
3306
0
        else if (cmp < 0)
3307
0
            return NULL;
3308
0
    }
3309
0
    PyErr_SetString(PyExc_ValueError, "list.index(x): x not in list");
3310
0
    return NULL;
3311
0
}
3312
3313
/*[clinic input]
3314
list.count
3315
3316
     value: object
3317
     /
3318
3319
Return number of occurrences of value.
3320
[clinic start generated code]*/
3321
3322
static PyObject *
3323
list_count_impl(PyListObject *self, PyObject *value)
3324
/*[clinic end generated code: output=eff66f14aef2df86 input=3bdc3a5e6f749565]*/
3325
0
{
3326
0
    Py_ssize_t count = 0;
3327
0
    for (Py_ssize_t i = 0; ; i++) {
3328
0
        PyObject *obj = list_get_item_ref(self, i);
3329
0
        if (obj == NULL) {
3330
            // out-of-bounds
3331
0
            break;
3332
0
        }
3333
0
        if (obj == value) {
3334
0
           count++;
3335
0
           Py_DECREF(obj);
3336
0
           continue;
3337
0
        }
3338
0
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3339
0
        Py_DECREF(obj);
3340
0
        if (cmp > 0)
3341
0
            count++;
3342
0
        else if (cmp < 0)
3343
0
            return NULL;
3344
0
    }
3345
0
    return PyLong_FromSsize_t(count);
3346
0
}
3347
3348
/*[clinic input]
3349
@critical_section
3350
list.remove
3351
3352
     value: object
3353
     /
3354
3355
Remove first occurrence of value.
3356
3357
Raises ValueError if the value is not present.
3358
[clinic start generated code]*/
3359
3360
static PyObject *
3361
list_remove_impl(PyListObject *self, PyObject *value)
3362
/*[clinic end generated code: output=b9b76a6633b18778 input=26c813dbb95aa93b]*/
3363
14.8k
{
3364
14.8k
    Py_ssize_t i;
3365
3366
14.8k
    for (i = 0; i < Py_SIZE(self); i++) {
3367
14.8k
        PyObject *obj = self->ob_item[i];
3368
14.8k
        Py_INCREF(obj);
3369
14.8k
        int cmp = PyObject_RichCompareBool(obj, value, Py_EQ);
3370
14.8k
        Py_DECREF(obj);
3371
14.8k
        if (cmp > 0) {
3372
14.8k
            if (list_ass_slice_lock_held(self, i, i+1, NULL) == 0)
3373
14.8k
                Py_RETURN_NONE;
3374
0
            return NULL;
3375
14.8k
        }
3376
10
        else if (cmp < 0)
3377
0
            return NULL;
3378
14.8k
    }
3379
2
    PyErr_SetString(PyExc_ValueError, "list.remove(x): x not in list");
3380
2
    return NULL;
3381
14.8k
}
3382
3383
static int
3384
list_traverse(PyObject *self, visitproc visit, void *arg)
3385
48.8M
{
3386
48.8M
    PyListObject *o = (PyListObject *)self;
3387
48.8M
    Py_ssize_t i;
3388
3389
195M
    for (i = Py_SIZE(o); --i >= 0; )
3390
147M
        Py_VISIT(o->ob_item[i]);
3391
48.8M
    return 0;
3392
48.8M
}
3393
3394
static PyObject *
3395
list_richcompare_impl(PyObject *v, PyObject *w, int op)
3396
399k
{
3397
399k
    PyListObject *vl, *wl;
3398
399k
    Py_ssize_t i;
3399
3400
399k
    if (!PyList_Check(v) || !PyList_Check(w))
3401
3.80k
        Py_RETURN_NOTIMPLEMENTED;
3402
3403
395k
    vl = (PyListObject *)v;
3404
395k
    wl = (PyListObject *)w;
3405
3406
395k
    if (Py_SIZE(vl) != Py_SIZE(wl) && (op == Py_EQ || op == Py_NE)) {
3407
        /* Shortcut: if the lengths differ, the lists differ */
3408
297k
        if (op == Py_EQ)
3409
297k
            Py_RETURN_FALSE;
3410
0
        else
3411
0
            Py_RETURN_TRUE;
3412
297k
    }
3413
3414
    /* Search for the first index where items are different */
3415
98.9k
    for (i = 0; i < Py_SIZE(vl) && i < Py_SIZE(wl); i++) {
3416
84.4k
        PyObject *vitem = vl->ob_item[i];
3417
84.4k
        PyObject *witem = wl->ob_item[i];
3418
84.4k
        if (vitem == witem) {
3419
158
            continue;
3420
158
        }
3421
3422
84.2k
        Py_INCREF(vitem);
3423
84.2k
        Py_INCREF(witem);
3424
84.2k
        int k = PyObject_RichCompareBool(vitem, witem, Py_EQ);
3425
84.2k
        Py_DECREF(vitem);
3426
84.2k
        Py_DECREF(witem);
3427
84.2k
        if (k < 0)
3428
0
            return NULL;
3429
84.2k
        if (!k)
3430
84.0k
            break;
3431
84.2k
    }
3432
3433
98.5k
    if (i >= Py_SIZE(vl) || i >= Py_SIZE(wl)) {
3434
        /* No more items to compare -- compare sizes */
3435
14.5k
        Py_RETURN_RICHCOMPARE(Py_SIZE(vl), Py_SIZE(wl), op);
3436
14.5k
    }
3437
3438
    /* We have an item that differs -- shortcuts for EQ/NE */
3439
84.0k
    if (op == Py_EQ) {
3440
84.0k
        Py_RETURN_FALSE;
3441
84.0k
    }
3442
24
    if (op == Py_NE) {
3443
24
        Py_RETURN_TRUE;
3444
24
    }
3445
3446
    /* Compare the final item again using the proper operator */
3447
0
    PyObject *vitem = vl->ob_item[i];
3448
0
    PyObject *witem = wl->ob_item[i];
3449
0
    Py_INCREF(vitem);
3450
0
    Py_INCREF(witem);
3451
0
    PyObject *result = PyObject_RichCompare(vl->ob_item[i], wl->ob_item[i], op);
3452
0
    Py_DECREF(vitem);
3453
0
    Py_DECREF(witem);
3454
0
    return result;
3455
24
}
3456
3457
static PyObject *
3458
list_richcompare(PyObject *v, PyObject *w, int op)
3459
399k
{
3460
399k
    PyObject *ret;
3461
399k
    Py_BEGIN_CRITICAL_SECTION2(v, w);
3462
399k
    ret = list_richcompare_impl(v, w, op);
3463
399k
    Py_END_CRITICAL_SECTION2()
3464
399k
    return ret;
3465
399k
}
3466
3467
/*[clinic input]
3468
list.__init__
3469
3470
    iterable: object(c_default="NULL") = ()
3471
    /
3472
3473
Built-in mutable sequence.
3474
3475
If no argument is given, the constructor creates a new empty list.
3476
The argument must be an iterable if specified.
3477
[clinic start generated code]*/
3478
3479
static int
3480
list___init___impl(PyListObject *self, PyObject *iterable)
3481
/*[clinic end generated code: output=0f3c21379d01de48 input=b3f3fe7206af8f6b]*/
3482
21.3M
{
3483
    /* Verify list invariants established by PyType_GenericAlloc() */
3484
21.3M
    assert(0 <= Py_SIZE(self));
3485
21.3M
    assert(Py_SIZE(self) <= self->allocated || self->allocated == -1);
3486
21.3M
    assert(self->ob_item != NULL ||
3487
21.3M
           self->allocated == 0 || self->allocated == -1);
3488
3489
    /* Empty previous contents */
3490
21.3M
    if (self->ob_item != NULL) {
3491
0
        Py_BEGIN_CRITICAL_SECTION(self);
3492
0
        list_clear(self);
3493
0
        Py_END_CRITICAL_SECTION();
3494
0
    }
3495
21.3M
    if (iterable != NULL) {
3496
9.91M
        if (_list_extend(self, iterable) < 0) {
3497
0
            return -1;
3498
0
        }
3499
9.91M
    }
3500
21.3M
    return 0;
3501
21.3M
}
3502
3503
static PyObject *
3504
list_vectorcall(PyObject *type, PyObject * const*args,
3505
                size_t nargsf, PyObject *kwnames)
3506
9.92M
{
3507
9.92M
    if (!_PyArg_NoKwnames("list", kwnames)) {
3508
0
        return NULL;
3509
0
    }
3510
9.92M
    Py_ssize_t nargs = PyVectorcall_NARGS(nargsf);
3511
9.92M
    if (!_PyArg_CheckPositional("list", nargs, 0, 1)) {
3512
0
        return NULL;
3513
0
    }
3514
3515
9.92M
    PyObject *list = PyType_GenericAlloc(_PyType_CAST(type), 0);
3516
9.92M
    if (list == NULL) {
3517
0
        return NULL;
3518
0
    }
3519
9.92M
    if (nargs) {
3520
9.91M
        if (list___init___impl((PyListObject *)list, args[0])) {
3521
0
            Py_DECREF(list);
3522
0
            return NULL;
3523
0
        }
3524
9.91M
    }
3525
9.92M
    return list;
3526
9.92M
}
3527
3528
3529
/*[clinic input]
3530
list.__sizeof__
3531
3532
Return the size of the list in memory, in bytes.
3533
[clinic start generated code]*/
3534
3535
static PyObject *
3536
list___sizeof___impl(PyListObject *self)
3537
/*[clinic end generated code: output=3417541f95f9a53e input=b8030a5d5ce8a187]*/
3538
0
{
3539
0
    size_t res = _PyObject_SIZE(Py_TYPE(self));
3540
0
    Py_ssize_t allocated = FT_ATOMIC_LOAD_SSIZE_RELAXED(self->allocated);
3541
0
    res += (size_t)allocated * sizeof(void*);
3542
0
    return PyLong_FromSize_t(res);
3543
0
}
3544
3545
static PyObject *list_iter(PyObject *seq);
3546
static PyObject *list_subscript(PyObject*, PyObject*);
3547
3548
static PyMethodDef list_methods[] = {
3549
    {"__getitem__", list_subscript, METH_O|METH_COEXIST,
3550
     PyDoc_STR("__getitem__($self, index, /)\n--\n\nReturn self[index].")},
3551
    LIST___REVERSED___METHODDEF
3552
    LIST___SIZEOF___METHODDEF
3553
    PY_LIST_CLEAR_METHODDEF
3554
    LIST_COPY_METHODDEF
3555
    LIST_APPEND_METHODDEF
3556
    LIST_INSERT_METHODDEF
3557
    LIST_EXTEND_METHODDEF
3558
    LIST_POP_METHODDEF
3559
    LIST_REMOVE_METHODDEF
3560
    LIST_INDEX_METHODDEF
3561
    LIST_COUNT_METHODDEF
3562
    LIST_REVERSE_METHODDEF
3563
    LIST_SORT_METHODDEF
3564
    {"__class_getitem__", Py_GenericAlias, METH_O|METH_CLASS, PyDoc_STR("See PEP 585")},
3565
    {NULL,              NULL}           /* sentinel */
3566
};
3567
3568
static PySequenceMethods list_as_sequence = {
3569
    list_length,                                /* sq_length */
3570
    list_concat,                                /* sq_concat */
3571
    list_repeat,                                /* sq_repeat */
3572
    list_item,                                  /* sq_item */
3573
    0,                                          /* sq_slice */
3574
    list_ass_item,                              /* sq_ass_item */
3575
    0,                                          /* sq_ass_slice */
3576
    list_contains,                              /* sq_contains */
3577
    list_inplace_concat,                        /* sq_inplace_concat */
3578
    list_inplace_repeat,                        /* sq_inplace_repeat */
3579
};
3580
3581
static inline PyObject *
3582
list_slice_step_lock_held(PyListObject *a, Py_ssize_t start, Py_ssize_t step, Py_ssize_t len)
3583
182
{
3584
182
    PyListObject *np = (PyListObject *)list_new_prealloc(len);
3585
182
    if (np == NULL) {
3586
0
        return NULL;
3587
0
    }
3588
182
    size_t cur;
3589
182
    Py_ssize_t i;
3590
182
    PyObject **src = a->ob_item;
3591
182
    PyObject **dest = np->ob_item;
3592
1.33k
    for (cur = start, i = 0; i < len;
3593
1.15k
            cur += (size_t)step, i++) {
3594
1.15k
        PyObject *v = src[cur];
3595
1.15k
        dest[i] = Py_NewRef(v);
3596
1.15k
    }
3597
182
    Py_SET_SIZE(np, len);
3598
182
    return (PyObject *)np;
3599
182
}
3600
3601
static PyObject *
3602
list_slice_wrap(PyListObject *aa, Py_ssize_t start, Py_ssize_t stop, Py_ssize_t step)
3603
3.35M
{
3604
3.35M
    PyObject *res = NULL;
3605
3.35M
    Py_BEGIN_CRITICAL_SECTION(aa);
3606
3.35M
    Py_ssize_t len = PySlice_AdjustIndices(Py_SIZE(aa), &start, &stop, step);
3607
3.35M
    if (len <= 0) {
3608
453k
        res = PyList_New(0);
3609
453k
    }
3610
2.89M
    else if (step == 1) {
3611
2.89M
        res = list_slice_lock_held(aa, start, stop);
3612
2.89M
    }
3613
182
    else {
3614
182
        res = list_slice_step_lock_held(aa, start, step, len);
3615
182
    }
3616
3.35M
    Py_END_CRITICAL_SECTION();
3617
3.35M
    return res;
3618
3.35M
}
3619
3620
static inline PyObject*
3621
list_slice_subscript(PyObject* self, PyObject* item)
3622
3.35M
{
3623
3.35M
    assert(PyList_Check(self));
3624
3.35M
    assert(PySlice_Check(item));
3625
3.35M
    Py_ssize_t start, stop, step;
3626
3.35M
    if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3627
0
        return NULL;
3628
0
    }
3629
3.35M
    return list_slice_wrap((PyListObject *)self, start, stop, step);
3630
3.35M
}
3631
3632
PyObject *
3633
_PyList_SliceSubscript(PyObject* _self, PyObject* item)
3634
3.20M
{
3635
3.20M
    return list_slice_subscript(_self, item);
3636
3.20M
}
3637
3638
static PyObject *
3639
list_subscript(PyObject* _self, PyObject* item)
3640
20.2M
{
3641
20.2M
    PyListObject* self = (PyListObject*)_self;
3642
20.2M
    if (_PyIndex_Check(item)) {
3643
20.0M
        Py_ssize_t i;
3644
20.0M
        i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3645
20.0M
        if (i == -1 && PyErr_Occurred())
3646
28
            return NULL;
3647
20.0M
        if (i < 0)
3648
15.7M
            i += PyList_GET_SIZE(self);
3649
20.0M
        return list_item((PyObject *)self, i);
3650
20.0M
    }
3651
149k
    else if (PySlice_Check(item)) {
3652
149k
        return list_slice_subscript(_self, item);
3653
149k
    }
3654
0
    else {
3655
0
        PyErr_Format(PyExc_TypeError,
3656
0
                     "list indices must be integers or slices, not %.200s",
3657
0
                     Py_TYPE(item)->tp_name);
3658
0
        return NULL;
3659
0
    }
3660
20.2M
}
3661
3662
static Py_ssize_t
3663
adjust_slice_indexes(PyListObject *lst,
3664
                     Py_ssize_t *start, Py_ssize_t *stop,
3665
                     Py_ssize_t step)
3666
252k
{
3667
252k
    Py_ssize_t slicelength = PySlice_AdjustIndices(Py_SIZE(lst), start, stop,
3668
252k
                                                   step);
3669
3670
    /* Make sure s[5:2] = [..] inserts at the right place:
3671
        before 5, not before 2. */
3672
252k
    if ((step < 0 && *start < *stop) ||
3673
252k
        (step > 0 && *start > *stop))
3674
0
        *stop = *start;
3675
3676
252k
    return slicelength;
3677
252k
}
3678
3679
static int
3680
list_ass_subscript_lock_held(PyObject *_self, PyObject *item, PyObject *value)
3681
955k
{
3682
955k
    _Py_CRITICAL_SECTION_ASSERT_OBJECT_LOCKED(_self);
3683
3684
955k
    PyListObject *self = (PyListObject *)_self;
3685
955k
    if (_PyIndex_Check(item)) {
3686
702k
        Py_ssize_t i = PyNumber_AsSsize_t(item, PyExc_IndexError);
3687
702k
        if (i == -1 && PyErr_Occurred())
3688
0
            return -1;
3689
702k
        if (i < 0)
3690
699k
            i += PyList_GET_SIZE(self);
3691
702k
        return list_ass_item_lock_held(self, i, value);
3692
702k
    }
3693
252k
    else if (PySlice_Check(item)) {
3694
252k
        Py_ssize_t start, stop, step;
3695
3696
252k
        if (PySlice_Unpack(item, &start, &stop, &step) < 0) {
3697
0
            return -1;
3698
0
        }
3699
3700
252k
        if (value == NULL) {
3701
            /* delete slice */
3702
24
            PyObject **garbage;
3703
24
            size_t cur;
3704
24
            Py_ssize_t i;
3705
24
            int res;
3706
3707
24
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3708
24
                                                          step);
3709
3710
24
            if (step == 1)
3711
24
                return list_ass_slice_lock_held(self, start, stop, value);
3712
3713
0
            if (slicelength <= 0)
3714
0
                return 0;
3715
3716
0
            if (step < 0) {
3717
0
                stop = start + 1;
3718
0
                start = stop + step*(slicelength - 1) - 1;
3719
0
                step = -step;
3720
0
            }
3721
3722
0
            garbage = (PyObject**)
3723
0
                PyMem_Malloc(slicelength*sizeof(PyObject*));
3724
0
            if (!garbage) {
3725
0
                PyErr_NoMemory();
3726
0
                return -1;
3727
0
            }
3728
3729
            /* drawing pictures might help understand these for
3730
               loops. Basically, we memmove the parts of the
3731
               list that are *not* part of the slice: step-1
3732
               items for each item that is part of the slice,
3733
               and then tail end of the list that was not
3734
               covered by the slice */
3735
0
            for (cur = start, i = 0;
3736
0
                 cur < (size_t)stop;
3737
0
                 cur += step, i++) {
3738
0
                Py_ssize_t lim = step - 1;
3739
3740
0
                garbage[i] = PyList_GET_ITEM(self, cur);
3741
3742
0
                if (cur + step >= (size_t)Py_SIZE(self)) {
3743
0
                    lim = Py_SIZE(self) - cur - 1;
3744
0
                }
3745
3746
0
                memmove(self->ob_item + cur - i,
3747
0
                    self->ob_item + cur + 1,
3748
0
                    lim * sizeof(PyObject *));
3749
0
            }
3750
0
            cur = start + (size_t)slicelength * step;
3751
0
            if (cur < (size_t)Py_SIZE(self)) {
3752
0
                memmove(self->ob_item + cur - slicelength,
3753
0
                    self->ob_item + cur,
3754
0
                    (Py_SIZE(self) - cur) *
3755
0
                     sizeof(PyObject *));
3756
0
            }
3757
3758
0
            Py_SET_SIZE(self, Py_SIZE(self) - slicelength);
3759
0
            res = list_resize(self, Py_SIZE(self));
3760
3761
0
            for (i = 0; i < slicelength; i++) {
3762
0
                Py_DECREF(garbage[i]);
3763
0
            }
3764
0
            PyMem_Free(garbage);
3765
3766
0
            return res;
3767
0
        }
3768
252k
        else {
3769
            /* assign slice */
3770
252k
            PyObject *ins, *seq;
3771
252k
            PyObject **garbage, **seqitems, **selfitems;
3772
252k
            Py_ssize_t i;
3773
252k
            size_t cur;
3774
3775
            /* protect against a[::-1] = a */
3776
252k
            if (self == (PyListObject*)value) {
3777
0
                seq = list_slice_lock_held((PyListObject *)value, 0,
3778
0
                                            Py_SIZE(value));
3779
0
            }
3780
252k
            else {
3781
252k
                seq = PySequence_Fast(value,
3782
252k
                                      "must assign iterable "
3783
252k
                                      "to extended slice");
3784
252k
            }
3785
252k
            if (!seq)
3786
0
                return -1;
3787
3788
252k
            Py_ssize_t slicelength = adjust_slice_indexes(self, &start, &stop,
3789
252k
                                                          step);
3790
3791
252k
            if (step == 1) {
3792
252k
                int res = list_ass_slice_lock_held(self, start, stop, seq);
3793
252k
                Py_DECREF(seq);
3794
252k
                return res;
3795
252k
            }
3796
3797
0
            if (PySequence_Fast_GET_SIZE(seq) != slicelength) {
3798
0
                PyErr_Format(PyExc_ValueError,
3799
0
                    "attempt to assign sequence of "
3800
0
                    "size %zd to extended slice of "
3801
0
                    "size %zd",
3802
0
                         PySequence_Fast_GET_SIZE(seq),
3803
0
                         slicelength);
3804
0
                Py_DECREF(seq);
3805
0
                return -1;
3806
0
            }
3807
3808
0
            if (!slicelength) {
3809
0
                Py_DECREF(seq);
3810
0
                return 0;
3811
0
            }
3812
3813
0
            garbage = (PyObject**)
3814
0
                PyMem_Malloc(slicelength*sizeof(PyObject*));
3815
0
            if (!garbage) {
3816
0
                Py_DECREF(seq);
3817
0
                PyErr_NoMemory();
3818
0
                return -1;
3819
0
            }
3820
3821
0
            selfitems = self->ob_item;
3822
0
            seqitems = PySequence_Fast_ITEMS(seq);
3823
0
            for (cur = start, i = 0; i < slicelength;
3824
0
                 cur += (size_t)step, i++) {
3825
0
                garbage[i] = selfitems[cur];
3826
0
                ins = Py_NewRef(seqitems[i]);
3827
0
                selfitems[cur] = ins;
3828
0
            }
3829
3830
0
            for (i = 0; i < slicelength; i++) {
3831
0
                Py_DECREF(garbage[i]);
3832
0
            }
3833
3834
0
            PyMem_Free(garbage);
3835
0
            Py_DECREF(seq);
3836
3837
0
            return 0;
3838
0
        }
3839
252k
    }
3840
0
    else {
3841
0
        PyErr_Format(PyExc_TypeError,
3842
0
                     "list indices must be integers or slices, not %.200s",
3843
0
                     Py_TYPE(item)->tp_name);
3844
0
        return -1;
3845
0
    }
3846
955k
}
3847
3848
static int
3849
list_ass_subscript(PyObject *self, PyObject *item, PyObject *value)
3850
955k
{
3851
955k
    int res;
3852
#ifdef Py_GIL_DISABLED
3853
    if (PySlice_Check(item) && value != NULL && PyList_CheckExact(value)) {
3854
        Py_BEGIN_CRITICAL_SECTION2(self, value);
3855
        res = list_ass_subscript_lock_held(self, item, value);
3856
        Py_END_CRITICAL_SECTION2();
3857
        return res;
3858
    }
3859
#endif
3860
955k
    Py_BEGIN_CRITICAL_SECTION(self);
3861
955k
    res = list_ass_subscript_lock_held(self, item, value);
3862
955k
    Py_END_CRITICAL_SECTION();
3863
955k
    return res;
3864
955k
}
3865
3866
static PyMappingMethods list_as_mapping = {
3867
    list_length,
3868
    list_subscript,
3869
    list_ass_subscript
3870
};
3871
3872
PyTypeObject PyList_Type = {
3873
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
3874
    "list",
3875
    sizeof(PyListObject),
3876
    0,
3877
    list_dealloc,                               /* tp_dealloc */
3878
    0,                                          /* tp_vectorcall_offset */
3879
    0,                                          /* tp_getattr */
3880
    0,                                          /* tp_setattr */
3881
    0,                                          /* tp_as_async */
3882
    list_repr,                                  /* tp_repr */
3883
    0,                                          /* tp_as_number */
3884
    &list_as_sequence,                          /* tp_as_sequence */
3885
    &list_as_mapping,                           /* tp_as_mapping */
3886
    PyObject_HashNotImplemented,                /* tp_hash */
3887
    0,                                          /* tp_call */
3888
    0,                                          /* tp_str */
3889
    PyObject_GenericGetAttr,                    /* tp_getattro */
3890
    0,                                          /* tp_setattro */
3891
    0,                                          /* tp_as_buffer */
3892
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
3893
        Py_TPFLAGS_BASETYPE | Py_TPFLAGS_LIST_SUBCLASS |
3894
        _Py_TPFLAGS_MATCH_SELF | Py_TPFLAGS_SEQUENCE,  /* tp_flags */
3895
    list___init____doc__,                       /* tp_doc */
3896
    list_traverse,                              /* tp_traverse */
3897
    list_clear_slot,                            /* tp_clear */
3898
    list_richcompare,                           /* tp_richcompare */
3899
    0,                                          /* tp_weaklistoffset */
3900
    list_iter,                                  /* tp_iter */
3901
    0,                                          /* tp_iternext */
3902
    list_methods,                               /* tp_methods */
3903
    0,                                          /* tp_members */
3904
    0,                                          /* tp_getset */
3905
    0,                                          /* tp_base */
3906
    0,                                          /* tp_dict */
3907
    0,                                          /* tp_descr_get */
3908
    0,                                          /* tp_descr_set */
3909
    0,                                          /* tp_dictoffset */
3910
    list___init__,                              /* tp_init */
3911
    PyType_GenericAlloc,                        /* tp_alloc */
3912
    PyType_GenericNew,                          /* tp_new */
3913
    PyObject_GC_Del,                            /* tp_free */
3914
    .tp_vectorcall = list_vectorcall,
3915
    .tp_version_tag = _Py_TYPE_VERSION_LIST,
3916
};
3917
3918
/*********************** List Iterator **************************/
3919
3920
static void listiter_dealloc(PyObject *);
3921
static int listiter_traverse(PyObject *, visitproc, void *);
3922
static PyObject *listiter_next(PyObject *);
3923
static PyObject *listiter_len(PyObject *, PyObject *);
3924
static PyObject *listiter_reduce_general(void *_it, int forward);
3925
static PyObject *listiter_reduce(PyObject *, PyObject *);
3926
static PyObject *listiter_setstate(PyObject *, PyObject *state);
3927
3928
PyDoc_STRVAR(length_hint_doc, "Private method returning an estimate of len(list(it)).");
3929
PyDoc_STRVAR(reduce_doc, "Return state information for pickling.");
3930
PyDoc_STRVAR(setstate_doc, "Set state information for unpickling.");
3931
3932
static PyMethodDef listiter_methods[] = {
3933
    {"__length_hint__", listiter_len, METH_NOARGS, length_hint_doc},
3934
    {"__reduce__", listiter_reduce, METH_NOARGS, reduce_doc},
3935
    {"__setstate__", listiter_setstate, METH_O, setstate_doc},
3936
    {NULL,              NULL}           /* sentinel */
3937
};
3938
3939
PyTypeObject PyListIter_Type = {
3940
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
3941
    "list_iterator",                            /* tp_name */
3942
    sizeof(_PyListIterObject),                  /* tp_basicsize */
3943
    0,                                          /* tp_itemsize */
3944
    /* methods */
3945
    listiter_dealloc,               /* tp_dealloc */
3946
    0,                                          /* tp_vectorcall_offset */
3947
    0,                                          /* tp_getattr */
3948
    0,                                          /* tp_setattr */
3949
    0,                                          /* tp_as_async */
3950
    0,                                          /* tp_repr */
3951
    0,                                          /* tp_as_number */
3952
    0,                                          /* tp_as_sequence */
3953
    0,                                          /* tp_as_mapping */
3954
    0,                                          /* tp_hash */
3955
    0,                                          /* tp_call */
3956
    0,                                          /* tp_str */
3957
    PyObject_GenericGetAttr,                    /* tp_getattro */
3958
    0,                                          /* tp_setattro */
3959
    0,                                          /* tp_as_buffer */
3960
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,/* tp_flags */
3961
    0,                                          /* tp_doc */
3962
    listiter_traverse,                          /* tp_traverse */
3963
    0,                                          /* tp_clear */
3964
    0,                                          /* tp_richcompare */
3965
    0,                                          /* tp_weaklistoffset */
3966
    PyObject_SelfIter,                          /* tp_iter */
3967
    listiter_next,                              /* tp_iternext */
3968
    listiter_methods,                           /* tp_methods */
3969
    0,                                          /* tp_members */
3970
};
3971
3972
3973
static PyObject *
3974
list_iter(PyObject *seq)
3975
32.6M
{
3976
32.6M
    if (!PyList_Check(seq)) {
3977
0
        PyErr_BadInternalCall();
3978
0
        return NULL;
3979
0
    }
3980
32.6M
    _PyListIterObject *it = _Py_FREELIST_POP(_PyListIterObject, list_iters);
3981
32.6M
    if (it == NULL) {
3982
2.56M
        it = PyObject_GC_New(_PyListIterObject, &PyListIter_Type);
3983
2.56M
        if (it == NULL) {
3984
0
            return NULL;
3985
0
        }
3986
2.56M
    }
3987
32.6M
    it->it_index = 0;
3988
32.6M
    it->it_seq = (PyListObject *)Py_NewRef(seq);
3989
32.6M
    _PyObject_GC_TRACK(it);
3990
32.6M
    return (PyObject *)it;
3991
32.6M
}
3992
3993
static void
3994
listiter_dealloc(PyObject *self)
3995
32.6M
{
3996
32.6M
    _PyListIterObject *it = (_PyListIterObject *)self;
3997
32.6M
    _PyObject_GC_UNTRACK(it);
3998
32.6M
    Py_XDECREF(it->it_seq);
3999
32.6M
    assert(Py_IS_TYPE(self, &PyListIter_Type));
4000
32.6M
    _Py_FREELIST_FREE(list_iters, it, PyObject_GC_Del);
4001
32.6M
}
4002
4003
static int
4004
listiter_traverse(PyObject *it, visitproc visit, void *arg)
4005
725k
{
4006
725k
    Py_VISIT(((_PyListIterObject *)it)->it_seq);
4007
725k
    return 0;
4008
725k
}
4009
4010
static PyObject *
4011
listiter_next(PyObject *self)
4012
152M
{
4013
152M
    _PyListIterObject *it = (_PyListIterObject *)self;
4014
152M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4015
152M
    if (index < 0) {
4016
165
        return NULL;
4017
165
    }
4018
4019
152M
    PyObject *item = list_get_item_ref(it->it_seq, index);
4020
152M
    if (item == NULL) {
4021
        // out-of-bounds
4022
32.1M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, -1);
4023
32.1M
#ifndef Py_GIL_DISABLED
4024
32.1M
        PyListObject *seq = it->it_seq;
4025
32.1M
        it->it_seq = NULL;
4026
32.1M
        Py_DECREF(seq);
4027
32.1M
#endif
4028
32.1M
        return NULL;
4029
32.1M
    }
4030
120M
    FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index + 1);
4031
120M
    return item;
4032
152M
}
4033
4034
static PyObject *
4035
listiter_len(PyObject *self, PyObject *Py_UNUSED(ignored))
4036
1.64M
{
4037
1.64M
    assert(self != NULL);
4038
1.64M
    _PyListIterObject *it = (_PyListIterObject *)self;
4039
1.64M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4040
1.64M
    if (index >= 0) {
4041
1.64M
        Py_ssize_t len = PyList_GET_SIZE(it->it_seq) - index;
4042
1.64M
        if (len >= 0)
4043
1.64M
            return PyLong_FromSsize_t(len);
4044
1.64M
    }
4045
0
    return PyLong_FromLong(0);
4046
1.64M
}
4047
4048
static PyObject *
4049
listiter_reduce(PyObject *it, PyObject *Py_UNUSED(ignored))
4050
0
{
4051
0
    return listiter_reduce_general(it, 1);
4052
0
}
4053
4054
static PyObject *
4055
listiter_setstate(PyObject *self, PyObject *state)
4056
0
{
4057
0
    _PyListIterObject *it = (_PyListIterObject *)self;
4058
0
    Py_ssize_t index = PyLong_AsSsize_t(state);
4059
0
    if (index == -1 && PyErr_Occurred())
4060
0
        return NULL;
4061
0
    if (it->it_seq != NULL) {
4062
0
        if (index < -1)
4063
0
            index = -1;
4064
0
        else if (index > PyList_GET_SIZE(it->it_seq))
4065
0
            index = PyList_GET_SIZE(it->it_seq); /* iterator exhausted */
4066
0
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index);
4067
0
    }
4068
0
    Py_RETURN_NONE;
4069
0
}
4070
4071
/*********************** List Reverse Iterator **************************/
4072
4073
typedef struct {
4074
    PyObject_HEAD
4075
    Py_ssize_t it_index;
4076
    PyListObject *it_seq; /* Set to NULL when iterator is exhausted */
4077
} listreviterobject;
4078
4079
static void listreviter_dealloc(PyObject *);
4080
static int listreviter_traverse(PyObject *, visitproc, void *);
4081
static PyObject *listreviter_next(PyObject *);
4082
static PyObject *listreviter_len(PyObject *, PyObject *);
4083
static PyObject *listreviter_reduce(PyObject *, PyObject *);
4084
static PyObject *listreviter_setstate(PyObject *, PyObject *);
4085
4086
static PyMethodDef listreviter_methods[] = {
4087
    {"__length_hint__", listreviter_len, METH_NOARGS, length_hint_doc},
4088
    {"__reduce__", listreviter_reduce, METH_NOARGS, reduce_doc},
4089
    {"__setstate__", listreviter_setstate, METH_O, setstate_doc},
4090
    {NULL,              NULL}           /* sentinel */
4091
};
4092
4093
PyTypeObject PyListRevIter_Type = {
4094
    PyVarObject_HEAD_INIT(&PyType_Type, 0)
4095
    "list_reverseiterator",                     /* tp_name */
4096
    sizeof(listreviterobject),                  /* tp_basicsize */
4097
    0,                                          /* tp_itemsize */
4098
    /* methods */
4099
    listreviter_dealloc,                        /* tp_dealloc */
4100
    0,                                          /* tp_vectorcall_offset */
4101
    0,                                          /* tp_getattr */
4102
    0,                                          /* tp_setattr */
4103
    0,                                          /* tp_as_async */
4104
    0,                                          /* tp_repr */
4105
    0,                                          /* tp_as_number */
4106
    0,                                          /* tp_as_sequence */
4107
    0,                                          /* tp_as_mapping */
4108
    0,                                          /* tp_hash */
4109
    0,                                          /* tp_call */
4110
    0,                                          /* tp_str */
4111
    PyObject_GenericGetAttr,                    /* tp_getattro */
4112
    0,                                          /* tp_setattro */
4113
    0,                                          /* tp_as_buffer */
4114
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,/* tp_flags */
4115
    0,                                          /* tp_doc */
4116
    listreviter_traverse,                       /* tp_traverse */
4117
    0,                                          /* tp_clear */
4118
    0,                                          /* tp_richcompare */
4119
    0,                                          /* tp_weaklistoffset */
4120
    PyObject_SelfIter,                          /* tp_iter */
4121
    listreviter_next,                           /* tp_iternext */
4122
    listreviter_methods,                /* tp_methods */
4123
    0,
4124
};
4125
4126
/*[clinic input]
4127
list.__reversed__
4128
4129
Return a reverse iterator over the list.
4130
[clinic start generated code]*/
4131
4132
static PyObject *
4133
list___reversed___impl(PyListObject *self)
4134
/*[clinic end generated code: output=b166f073208c888c input=eadb6e17f8a6a280]*/
4135
46.8M
{
4136
46.8M
    listreviterobject *it;
4137
4138
46.8M
    it = PyObject_GC_New(listreviterobject, &PyListRevIter_Type);
4139
46.8M
    if (it == NULL)
4140
0
        return NULL;
4141
46.8M
    assert(PyList_Check(self));
4142
46.8M
    it->it_index = PyList_GET_SIZE(self) - 1;
4143
46.8M
    it->it_seq = (PyListObject*)Py_NewRef(self);
4144
46.8M
    PyObject_GC_Track(it);
4145
46.8M
    return (PyObject *)it;
4146
46.8M
}
4147
4148
static void
4149
listreviter_dealloc(PyObject *self)
4150
46.8M
{
4151
46.8M
    listreviterobject *it = (listreviterobject *)self;
4152
46.8M
    PyObject_GC_UnTrack(it);
4153
46.8M
    Py_XDECREF(it->it_seq);
4154
46.8M
    PyObject_GC_Del(it);
4155
46.8M
}
4156
4157
static int
4158
listreviter_traverse(PyObject *it, visitproc visit, void *arg)
4159
714
{
4160
714
    Py_VISIT(((listreviterobject *)it)->it_seq);
4161
714
    return 0;
4162
714
}
4163
4164
static PyObject *
4165
listreviter_next(PyObject *self)
4166
57.2M
{
4167
57.2M
    listreviterobject *it = (listreviterobject *)self;
4168
57.2M
    assert(it != NULL);
4169
57.2M
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4170
57.2M
    if (index < 0) {
4171
32.2M
        return NULL;
4172
32.2M
    }
4173
4174
24.9M
    PyListObject *seq = it->it_seq;
4175
24.9M
    assert(PyList_Check(seq));
4176
24.9M
    PyObject *item = list_get_item_ref(seq, index);
4177
24.9M
    if (item != NULL) {
4178
24.9M
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index - 1);
4179
24.9M
        return item;
4180
24.9M
    }
4181
0
    FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, -1);
4182
0
#ifndef Py_GIL_DISABLED
4183
0
    it->it_seq = NULL;
4184
0
    Py_DECREF(seq);
4185
0
#endif
4186
0
    return NULL;
4187
24.9M
}
4188
4189
static PyObject *
4190
listreviter_len(PyObject *self, PyObject *Py_UNUSED(ignored))
4191
0
{
4192
0
    listreviterobject *it = (listreviterobject *)self;
4193
0
    Py_ssize_t index = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4194
0
    Py_ssize_t len = index + 1;
4195
0
    if (it->it_seq == NULL || PyList_GET_SIZE(it->it_seq) < len)
4196
0
        len = 0;
4197
0
    return PyLong_FromSsize_t(len);
4198
0
}
4199
4200
static PyObject *
4201
listreviter_reduce(PyObject *it, PyObject *Py_UNUSED(ignored))
4202
0
{
4203
0
    return listiter_reduce_general(it, 0);
4204
0
}
4205
4206
static PyObject *
4207
listreviter_setstate(PyObject *self, PyObject *state)
4208
0
{
4209
0
    listreviterobject *it = (listreviterobject *)self;
4210
0
    Py_ssize_t index = PyLong_AsSsize_t(state);
4211
0
    if (index == -1 && PyErr_Occurred())
4212
0
        return NULL;
4213
0
    if (it->it_seq != NULL) {
4214
0
        if (index < -1)
4215
0
            index = -1;
4216
0
        else if (index > PyList_GET_SIZE(it->it_seq) - 1)
4217
0
            index = PyList_GET_SIZE(it->it_seq) - 1;
4218
0
        FT_ATOMIC_STORE_SSIZE_RELAXED(it->it_index, index);
4219
0
    }
4220
0
    Py_RETURN_NONE;
4221
0
}
4222
4223
/* common pickling support */
4224
4225
static PyObject *
4226
listiter_reduce_general(void *_it, int forward)
4227
0
{
4228
0
    PyObject *list;
4229
0
    PyObject *iter;
4230
4231
    /* _PyEval_GetBuiltin can invoke arbitrary code,
4232
     * call must be before access of iterator pointers.
4233
     * see issue #101765 */
4234
4235
0
    if (forward) {
4236
0
        iter = _PyEval_GetBuiltin(&_Py_ID(iter));
4237
0
        _PyListIterObject *it = (_PyListIterObject *)_it;
4238
0
        Py_ssize_t idx = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4239
0
        if (idx >= 0) {
4240
0
            return Py_BuildValue("N(O)n", iter, it->it_seq, idx);
4241
0
        }
4242
0
    } else {
4243
0
        iter = _PyEval_GetBuiltin(&_Py_ID(reversed));
4244
0
        listreviterobject *it = (listreviterobject *)_it;
4245
0
        Py_ssize_t idx = FT_ATOMIC_LOAD_SSIZE_RELAXED(it->it_index);
4246
0
        if (idx >= 0) {
4247
0
            return Py_BuildValue("N(O)n", iter, it->it_seq, idx);
4248
0
        }
4249
0
    }
4250
    /* empty iterator, create an empty list */
4251
0
    list = PyList_New(0);
4252
0
    if (list == NULL)
4253
0
        return NULL;
4254
0
    return Py_BuildValue("N(N)", iter, list);
4255
0
}